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    <title>LLM on Cognaptus</title>
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    <description>Recent content in LLM on Cognaptus</description>
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    <item>
      <title>Filter Bubble Bursts: When Common Crawl Beats Clean Data</title>
      <link>https://cognaptus.com/blog/2026-06-04-filter-bubble-bursts-when-common-crawl-beats-clean-data/</link>
      <pubDate>Thu, 04 Jun 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-06-04-filter-bubble-bursts-when-common-crawl-beats-clean-data/</guid>
      <description>A business-focused reading of why data filtering may be a compute-dependent strategy rather than a universal pretraining rule.</description>
    </item>
    <item>
      <title>Uncertain Terms: Hallucination Scores Are Triage Signals, Not Lie Detectors</title>
      <link>https://cognaptus.com/blog/2026-06-04-uncertain-terms-hallucination-scores-are-triage-signals-not-lie-detectors/</link>
      <pubDate>Thu, 04 Jun 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-06-04-uncertain-terms-hallucination-scores-are-triage-signals-not-lie-detectors/</guid>
      <description>A business-focused reading of why uncertainty estimators can help detect LLM hallucinations only after task-specific validation.</description>
    </item>
    <item>
      <title>Do the Math, Not the Mime: Why LLM Reasoning Needs a Verification Pipeline</title>
      <link>https://cognaptus.com/blog/2026-05-30-do-the-math-not-the-mime-why-llm-reasoning-needs-a-verification-pipeline/</link>
      <pubDate>Sat, 30 May 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-05-30-do-the-math-not-the-mime-why-llm-reasoning-needs-a-verification-pipeline/</guid>
      <description>A mechanism-first reading of why LLM mathematical reasoning fails when fluent explanations are mistaken for verified symbolic work.</description>
    </item>
    <item>
      <title>RL Needs a Menu, Not a Miracle</title>
      <link>https://cognaptus.com/blog/2026-05-25-rl-needs-a-menu-not-a-miracle/</link>
      <pubDate>Mon, 25 May 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-05-25-rl-needs-a-menu-not-a-miracle/</guid>
      <description>A recent arXiv paper shows why reinforcement learning works better when a model has already seen multiple verified ways to solve the same problem.</description>
    </item>
    <item>
      <title>When RL Needs a Tour Guide: OGER and the Business of Smarter Exploration</title>
      <link>https://cognaptus.com/blog/2026-04-23-when-rl-needs-a-tour-guide-oger-and-the-business-of-smarter-exploration/</link>
      <pubDate>Thu, 23 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-04-23-when-rl-needs-a-tour-guide-oger-and-the-business-of-smarter-exploration/</guid>
      <description>A mechanism-first reading of OGER, showing why expert demonstrations become more valuable when they guide exploration instead of merely supplying imitation data.</description>
    </item>
    <item>
      <title>Free AI Inference Providers</title>
      <link>https://cognaptus.com/datahub/free-ai-inference-providers/</link>
      <pubDate>Wed, 01 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/free-ai-inference-providers/</guid>
      <description>A daily dashboard for monitoring free AI inference providers, with curated vendor boards and a machine-refreshable OpenRouter free-model roster.</description>
    </item>
    <item>
      <title>When Reasoning Pays (and When It Cheats): Fixing RL Signals in LLM Training</title>
      <link>https://cognaptus.com/blog/2026-03-30-when-reasoning-pays-and-when-it-cheats-fixing-rl-signals-in-llm-training/</link>
      <pubDate>Mon, 30 Mar 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-03-30-when-reasoning-pays-and-when-it-cheats-fixing-rl-signals-in-llm-training/</guid>
      <description>A mechanism-first reading of PAPO, showing why separating correctness rewards from process rubrics can keep reasoning-model RL useful without paying models to perform for the judge.</description>
    </item>
    <item>
      <title>From Prompts to Proofs: When Language Becomes an SMT Theory</title>
      <link>https://cognaptus.com/blog/2026-02-23-from-prompts-to-proofs-when-language-becomes-an-smt-theory/</link>
      <pubDate>Mon, 23 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-23-from-prompts-to-proofs-when-language-becomes-an-smt-theory/</guid>
      <description>A mechanism-first reading of Logitext, a framework that treats LLM-based text judgment as a solver-compatible theory rather than a final-answer machine.</description>
    </item>
    <item>
      <title>Drafts, Then Do Better: Teaching LLMs to Outgrow Their Own Reasoning</title>
      <link>https://cognaptus.com/blog/2026-02-10-drafts-then-do-better-teaching-llms-to-outgrow-their-own-reasoning/</link>
      <pubDate>Tue, 10 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-10-drafts-then-do-better-teaching-llms-to-outgrow-their-own-reasoning/</guid>
      <description>A mechanism-first reading of iGRPO, a training method that teaches reasoning models to improve beyond their own best drafts without adding inference-time latency.</description>
    </item>
    <item>
      <title>Algorithmic Context Is the New Heuristic</title>
      <link>https://cognaptus.com/blog/2026-02-02-algorithmic-context-is-the-new-heuristic/</link>
      <pubDate>Mon, 02 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-02-02-algorithmic-context-is-the-new-heuristic/</guid>
      <description>A new A* heuristic-design paper shows why algorithmic context can matter more than vague domain prompting when LLMs are used inside constrained optimization workflows.</description>
    </item>
    <item>
      <title>Greedy, but Not Blind: Teaching Optimization to Listen</title>
      <link>https://cognaptus.com/blog/2026-01-19-greedy-but-not-blind-teaching-optimization-to-listen/</link>
      <pubDate>Mon, 19 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-19-greedy-but-not-blind-teaching-optimization-to-listen/</guid>
      <description>A mechanism-first reading of LEG, a hybrid LLM-and-greedy optimization framework that lets qualitative advice influence facility planning without surrendering coverage guarantees.</description>
    </item>
    <item>
      <title>Explaining the Explainers: Why Faithful XAI for LLMs Finally Needs a Benchmark</title>
      <link>https://cognaptus.com/blog/2026-01-17-explaining-the-explainers-why-faithful-xai-for-llms-finally-needs-a-benchmark/</link>
      <pubDate>Sat, 17 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-17-explaining-the-explainers-why-faithful-xai-for-llms-finally-needs-a-benchmark/</guid>
      <description>A mechanism-first reading of LIBERTy, a structural-counterfactual benchmark that tests whether concept-based explanations actually track causal model behavior rather than merely producing plausible edits.</description>
    </item>
    <item>
      <title>When LLMs Stop Talking and Start Driving</title>
      <link>https://cognaptus.com/blog/2026-01-11-when-llms-stop-talking-and-start-driving/</link>
      <pubDate>Sun, 11 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-11-when-llms-stop-talking-and-start-driving/</guid>
      <description>A mechanism-first reading of how LLM semantic understanding, knowledge graphs, and reinforcement learning can turn enterprise text into operational decisions.</description>
    </item>
    <item>
      <title>Model Cannibalism: When LLMs Learn From Their Own Echo</title>
      <link>https://cognaptus.com/blog/2026-01-09-model-cannibalism-when-llms-learn-from-their-own-echo/</link>
      <pubDate>Fri, 09 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-09-model-cannibalism-when-llms-learn-from-their-own-echo/</guid>
      <description>A mechanism-first reading of how self-generated training data and user feedback can turn ordinary LLM fine-tuning pipelines into bias amplifiers.</description>
    </item>
    <item>
      <title>When Three Examples Beat a Thousand GPUs</title>
      <link>https://cognaptus.com/blog/2026-01-03-when-three-examples-beat-a-thousand-gpus/</link>
      <pubDate>Sat, 03 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-03-when-three-examples-beat-a-thousand-gpus/</guid>
      <description>A controlled study of LLM-generated neural networks shows why moderate prompt context can improve architecture synthesis—and why more examples eventually break the pipeline.</description>
    </item>
    <item>
      <title>Deployed, Retrained, Repeated: When LLMs Learn From Being Used</title>
      <link>https://cognaptus.com/blog/2026-01-01-deployed-retrained-repeated-when-llms-learn-from-being-used/</link>
      <pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2026-01-01-deployed-retrained-repeated-when-llms-learn-from-being-used/</guid>
      <description>How selective reuse of validated deployment traces can quietly turn ordinary supervised fine-tuning into an implicit reinforcement-learning loop.</description>
    </item>
    <item>
      <title>Forgetting That Never Happened: The Shallow Alignment Trap</title>
      <link>https://cognaptus.com/blog/2025-12-27-forgetting-that-never-happened-the-shallow-alignment-trap/</link>
      <pubDate>Sat, 27 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-27-forgetting-that-never-happened-the-shallow-alignment-trap/</guid>
      <description>A mechanism-first reading of spurious forgetting: why some LLM performance drops are alignment failures, not erased knowledge.</description>
    </item>
    <item>
      <title>Doctor GPT, But Make It Explainable</title>
      <link>https://cognaptus.com/blog/2025-12-22-doctor-gpt-but-make-it-explainable/</link>
      <pubDate>Mon, 22 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-22-doctor-gpt-but-make-it-explainable/</guid>
      <description>A close reading of an explainable LLM diagnostic pipeline, showing why its real business value is structured triage support rather than autonomous medical judgment.</description>
    </item>
    <item>
      <title>Prompt-to-Parts: When Language Learns to Build</title>
      <link>https://cognaptus.com/blog/2025-12-20-prompttoparts-when-language-learns-to-build/</link>
      <pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-20-prompttoparts-when-language-learns-to-build/</guid>
      <description>A mechanism-first reading of Prompt-to-Parts, where language models become useful for physical design not by imagining perfect 3D objects, but by compiling intent into constrained, inspectable part assemblies.</description>
    </item>
    <item>
      <title>ID Crisis, Resolved: When Semantic IDs Stop Fighting Hash IDs</title>
      <link>https://cognaptus.com/blog/2025-12-14-id-crisis-resolved-when-semantic-ids-stop-fighting-hash-ids/</link>
      <pubDate>Sun, 14 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-14-id-crisis-resolved-when-semantic-ids-stop-fighting-hash-ids/</guid>
      <description>A close reading of H2 Rec shows why recommender systems need semantic generalization and hash-ID uniqueness to coexist rather than replace each other.</description>
    </item>
    <item>
      <title>When AI Becomes the Reviewer: Pairwise Judgment at Scale</title>
      <link>https://cognaptus.com/blog/2025-12-12-when-ai-becomes-the-reviewer-pairwise-judgment-at-scale/</link>
      <pubDate>Fri, 12 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-12-when-ai-becomes-the-reviewer-pairwise-judgment-at-scale/</guid>
      <description>A mechanism-first look at how LLMs can turn expensive proposal review into pairwise ranking, audit signals, and similarity checks without pretending the committee has disappeared.</description>
    </item>
    <item>
      <title>Rule of Thumb, Meet Rule of Code: How DeepRule Rewrites Retail Optimization</title>
      <link>https://cognaptus.com/blog/2025-12-04-rule-of-thumb-meet-rule-of-code-how-deeprule-rewrites-retail-optimization/</link>
      <pubDate>Thu, 04 Dec 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-12-04-rule-of-thumb-meet-rule-of-code-how-deeprule-rewrites-retail-optimization/</guid>
      <description>DeepRule shows how LLMs can turn messy retail knowledge into auditable assortment and pricing rules, but the real lesson is the pipeline, not the model.</description>
    </item>
    <item>
      <title>When ESG Meets LLM: Decoding Corporate Green Talk on Social Media</title>
      <link>https://cognaptus.com/blog/2025-11-06-when-esg-meets-llm-decoding-corporate-green-talk-on-social-media/</link>
      <pubDate>Thu, 06 Nov 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-11-06-when-esg-meets-llm-decoding-corporate-green-talk-on-social-media/</guid>
      <description>How large language and vision models expose the patterns, promises, and performative edges of corporate sustainability messaging.</description>
    </item>
    <item>
      <title>The Esperanto of AI Agents: How the Agent Data Protocol Unifies a Fragmented Ecosystem</title>
      <link>https://cognaptus.com/blog/2025-11-02-the-esperanto-of-ai-agents-how-the-agent-data-protocol-unifies-a-fragmented-ecosystem/</link>
      <pubDate>Sun, 02 Nov 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-11-02-the-esperanto-of-ai-agents-how-the-agent-data-protocol-unifies-a-fragmented-ecosystem/</guid>
      <description>The Agent Data Protocol (ADP) introduces a common language for training AI agents, reducing the chaos of incompatible datasets and setting a foundation for scalable, cross-domain intelligence.</description>
    </item>
    <item>
      <title>Evolving Minds: How LLMs Teach Themselves Through Adversarial Cooperation</title>
      <link>https://cognaptus.com/blog/2025-11-01-evolving-minds-how-llms-teach-themselves-through-adversarial-cooperation/</link>
      <pubDate>Sat, 01 Nov 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-11-01-evolving-minds-how-llms-teach-themselves-through-adversarial-cooperation/</guid>
      <description>Multi-Agent Evolve transforms the idea of self-play into a triadic co-evolution—where one model acts as questioner, solver, and judge—to cultivate reasoning without human supervision.</description>
    </item>
    <item>
      <title>The Rise of FreePhD: How Multiagent Systems are Reimagining the Scientific Method</title>
      <link>https://cognaptus.com/blog/2025-10-25-the-rise-of-freephd-how-multiagent-systems-are-reimagining-the-scientific-method/</link>
      <pubDate>Sat, 25 Oct 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-10-25-the-rise-of-freephd-how-multiagent-systems-are-reimagining-the-scientific-method/</guid>
      <description>The open-source framework &amp;#39;freephdlabor&amp;#39; offers a glimpse into the future of self-adaptive, collaborative AI research—where agents think, write, and even argue like real scientists.</description>
    </item>
    <item>
      <title>When Numbers Meet Narratives: How LLMs Reframe Quant Investing</title>
      <link>https://cognaptus.com/blog/2025-10-25-when-numbers-meet-narratives-how-llms-reframe-quant-investing/</link>
      <pubDate>Sat, 25 Oct 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-10-25-when-numbers-meet-narratives-how-llms-reframe-quant-investing/</guid>
      <description>How a Geneva-based research team fuses quantitative factors with LLM-derived news embeddings to predict stock returns more effectively.</description>
    </item>
    <item>
      <title>Paper Tigers or Compliance Cops? What AIReg‑Bench Really Says About LLMs and the EU AI Act</title>
      <link>https://cognaptus.com/blog/2025-10-09-paper-tigers-or-compliance-cops-what-airegbench-really-says-about-llms-and-the-eu-ai-act/</link>
      <pubDate>Thu, 09 Oct 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-10-09-paper-tigers-or-compliance-cops-what-airegbench-really-says-about-llms-and-the-eu-ai-act/</guid>
      <description>A close read of AIReg‑Bench shows frontier LLMs can approximate expert EU AI Act judgments—sometimes eerily well—but only under disciplined inputs and with caveats executives can’t ignore.</description>
    </item>
    <item>
      <title>Paths, Not Parrots: When RL Makes LLMs Plan—and When It Doesn’t</title>
      <link>https://cognaptus.com/blog/2025-10-03-paths-not-parrots-when-rl-makes-llms-planand-when-it-doesnt/</link>
      <pubDate>Fri, 03 Oct 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-10-03-paths-not-parrots-when-rl-makes-llms-planand-when-it-doesnt/</guid>
      <description>A practitioner’s take on new theory showing why RL beats SFT for planning in LLMs, why policy-gradient collapses diversity, and how Q-learning with process rewards preserves both accuracy and breadth.</description>
    </item>
    <item>
      <title>Failures, Taxonomized: How Multi‑Level Reflection Turns Agents Into Self‑Learners</title>
      <link>https://cognaptus.com/blog/2025-10-02-failures-taxonomized-how-multilevel-reflection-turns-agents-into-selflearners/</link>
      <pubDate>Thu, 02 Oct 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-10-02-failures-taxonomized-how-multilevel-reflection-turns-agents-into-selflearners/</guid>
      <description>SAMULE shows why mining failures beats celebrating rare wins: a three‑level reflection pipeline plus a small retrospective model that teaches agents to fix themselves—during trials and in live conversations.</description>
    </item>
    <item>
      <title>Bracket Busters: When Agentic LLMs Turn Law into Code (and Catch Their Own Mistakes)</title>
      <link>https://cognaptus.com/blog/2025-10-01-bracket-busters-when-agentic-llms-turn-law-into-code-and-catch-their-own-mistakes/</link>
      <pubDate>Wed, 01 Oct 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-10-01-bracket-busters-when-agentic-llms-turn-law-into-code-and-catch-their-own-mistakes/</guid>
      <description>A multi‑agent, metamorphic‑testing approach turns messy statutes into executable logic—improving worst‑case reliability while exposing silent logic bugs in legal‑critical software.</description>
    </item>
    <item>
      <title>Pipes by Prompt, DAGs by Design: Why Hybrid Beats Hero Prompts</title>
      <link>https://cognaptus.com/blog/2025-10-01-pipes-by-prompt-dags-by-design-why-hybrid-beats-hero-prompts/</link>
      <pubDate>Wed, 01 Oct 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-10-01-pipes-by-prompt-dags-by-design-why-hybrid-beats-hero-prompts/</guid>
      <description>Prompt2DAG shows that structured, template‑guided generation produces far more reliable Airflow pipelines than single-shot prompting—without giving up flexibility.</description>
    </item>
    <item>
      <title>Agency Check, Please: What a New Benchmark Says About LLMs That Actually Empower Users</title>
      <link>https://cognaptus.com/blog/2025-09-14-agency-check-please-what-a-new-benchmark-says-about-llms-that-actually-empower-users/</link>
      <pubDate>Sun, 14 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-09-14-agency-check-please-what-a-new-benchmark-says-about-llms-that-actually-empower-users/</guid>
      <description>HumanAgencyBench argues we should grade AI not just on accuracy but on whether it protects human agency—asking clarifying questions, deferring big decisions, resisting value-nudging, correcting misinformation, teaching, and keeping social boundaries.</description>
    </item>
    <item>
      <title>Hook, Line, and Import: How RAG Lets Attackers Snare Your Code</title>
      <link>https://cognaptus.com/blog/2025-09-13-hook-line-and-import-how-rag-lets-attackers-snare-your-code/</link>
      <pubDate>Sat, 13 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-09-13-hook-line-and-import-how-rag-lets-attackers-snare-your-code/</guid>
      <description>Why retrieval-augmented code generation can be steered into recommending malicious packages—and how to harden your stack before it bites.</description>
    </item>
    <item>
      <title>Mind the Gap: How OSC Turns Agent Chatter into Compound Intelligence</title>
      <link>https://cognaptus.com/blog/2025-09-11-mind-the-gap-how-osc-turns-agent-chatter-into-compound-intelligence/</link>
      <pubDate>Thu, 11 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-09-11-mind-the-gap-how-osc-turns-agent-chatter-into-compound-intelligence/</guid>
      <description>OSC adds a learned ‘cognitive gap’ layer between expert selection and aggregation—cutting redundancy and lifting win rates by aligning what agents say with what teammates actually need.</description>
    </item>
    <item>
      <title>Parallel Minds, Shorter Time: ParaThinker’s Native Thought Width</title>
      <link>https://cognaptus.com/blog/2025-09-11-parallel-minds-shorter-time-parathinkers-native-thought-width/</link>
      <pubDate>Thu, 11 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-09-11-parallel-minds-shorter-time-parathinkers-native-thought-width/</guid>
      <description>ParaThinker trains LLMs to think in parallel—multiple diverse chains fused into a final answer—breaking the test‑time ‘overthinking’ ceiling with minimal latency overhead.</description>
    </item>
    <item>
      <title>Fusion Cuisine for RAG: Z‑Scores, Rankers, and the Two‑Source Diet</title>
      <link>https://cognaptus.com/blog/2025-09-06-fusion-cuisine-for-rag-zscores-rankers-and-the-twosource-diet/</link>
      <pubDate>Sat, 06 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-09-06-fusion-cuisine-for-rag-zscores-rankers-and-the-twosource-diet/</guid>
      <description>HF‑RAG shows how to make labeled exemplars and unlabeled corpora play nice—fusing multiple rankers per source, then standardizing across sources to improve fact verification and OOD generalization.</description>
    </item>
    <item>
      <title>Razor Burn: Why LLMs Nick Themselves on Induction and Abduction</title>
      <link>https://cognaptus.com/blog/2025-09-06-razor-burn-why-llms-nick-themselves-on-induction-and-abduction/</link>
      <pubDate>Sat, 06 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-09-06-razor-burn-why-llms-nick-themselves-on-induction-and-abduction/</guid>
      <description>A new benchmark shows large language models can guess explanations, but rarely the simplest ones—undercutting their usefulness for discovery and diagnosis.</description>
    </item>
    <item>
      <title>Dial M—for Markets: Brain‑Scanning and Steering LLMs for Finance</title>
      <link>https://cognaptus.com/blog/2025-09-01-dial-mfor-markets-brainscanning-and-steering-llms-for-finance/</link>
      <pubDate>Mon, 01 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-09-01-dial-mfor-markets-brainscanning-and-steering-llms-for-finance/</guid>
      <description>Sparse autoencoders turn black‑box LLMs into steerable, finance‑aware systems—revealing which concepts move returns and how to correct optimism bias.</description>
    </item>
    <item>
      <title>Numbers Need Narration: Making LLMs Do Reasoning‑Intensive Regression</title>
      <link>https://cognaptus.com/blog/2025-09-01-numbers-need-narration-making-llms-do-reasoningintensive-regression/</link>
      <pubDate>Mon, 01 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-09-01-numbers-need-narration-making-llms-do-reasoningintensive-regression/</guid>
      <description>MENTAT shows how to blend batched prompt evolution with a tiny neural aggregator to turn fuzzy reasoning into calibrated numbers—useful for scoring calls, grading text, and judging RAG outputs when data is scarce.</description>
    </item>
    <item>
      <title>Patience Is Profit: Can LLM Agents Stabilize DePIN’s Token Rails?</title>
      <link>https://cognaptus.com/blog/2025-09-01-patience-is-profit-can-llm-agents-stabilize-depins-token-rails/</link>
      <pubDate>Mon, 01 Sep 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-09-01-patience-is-profit-can-llm-agents-stabilize-depins-token-rails/</guid>
      <description>We dissect EconAgentic’s DePIN market model and argue when ‘patient’ LLM agents improve inclusion and stability without tanking efficiency—and where the thesis may overreach.</description>
    </item>
    <item>
      <title>Benchmarks with Benefits: What DeepScholar-Bench Really Measures</title>
      <link>https://cognaptus.com/blog/2025-08-30-benchmarks-with-benefits-what-deepscholarbench-really-measures/</link>
      <pubDate>Sat, 30 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-30-benchmarks-with-benefits-what-deepscholarbench-really-measures/</guid>
      <description>A live, automated benchmark for generative research synthesis shows why your ‘research copilot’ still struggles—and how to fix it.</description>
    </item>
    <item>
      <title>Edge of Reason: Orchestrating LLMs Without a Conductor</title>
      <link>https://cognaptus.com/blog/2025-08-30-edge-of-reason-orchestrating-llms-without-a-conductor/</link>
      <pubDate>Sat, 30 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-30-edge-of-reason-orchestrating-llms-without-a-conductor/</guid>
      <description>Symphony decentralizes multi‑agent LLM orchestration across edge devices using a ledger, beacon-based tasking, and weighted CoT voting—showing sizable accuracy gains over AutoGen/CrewAI while shrinking infra costs.</description>
    </item>
    <item>
      <title>Faking It to Make It: When Synthetic Data Actually Works</title>
      <link>https://cognaptus.com/blog/2025-08-30-faking-it-to-make-it-when-synthetic-data-actually-works/</link>
      <pubDate>Sat, 30 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-30-faking-it-to-make-it-when-synthetic-data-actually-works/</guid>
      <description>A pragmatic playbook for using GANs, diffusion, and LLMs to generate synthetic data that actually moves business metrics—plus how to test it before it tests you.</description>
    </item>
    <item>
      <title>Preference Chains of Command: Making LLM Agents Pick Like People</title>
      <link>https://cognaptus.com/blog/2025-08-25-preference-chains-of-command-making-llm-agents-pick-like-people/</link>
      <pubDate>Mon, 25 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-25-preference-chains-of-command-making-llm-agents-pick-like-people/</guid>
      <description>A pragmatic take on ‘Graph RAG as Human Choice Model’: how a BDI graph &#43; retrieval &#43; a light probabilistic layer helps LLM agents simulate mobility choices credibly with little data.</description>
    </item>
    <item>
      <title>Spin Doctors: Why RL Fine‑Tuning Mostly Rotates, Not Reinvents</title>
      <link>https://cognaptus.com/blog/2025-08-25-spin-doctors-why-rl-finetuning-mostly-rotates-not-reinvents/</link>
      <pubDate>Mon, 25 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-25-spin-doctors-why-rl-finetuning-mostly-rotates-not-reinvents/</guid>
      <description>New evidence suggests RL fine‑tuning largely restores out‑of‑distribution skill lost to SFT by rotating a model’s feature directions—offering cheap knobs before you reach for PPO.</description>
    </item>
    <item>
      <title>Stackelbergs &amp; Stakeholders: Turning Bits into Boardroom Moves</title>
      <link>https://cognaptus.com/blog/2025-08-24-stackelbergs-stakeholders-turning-bits-into-boardroom-moves/</link>
      <pubDate>Sun, 24 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-24-stackelbergs-stakeholders-turning-bits-into-boardroom-moves/</guid>
      <description>BusiAgent blends CTMDP control, entropy-driven brainstorming, and Stackelberg hierarchies to coordinate multi‑agent LLMs for real business workflows—promising, but with caveats.</description>
    </item>
    <item>
      <title>USB‑C for Agents, Stress‑Tested: What MCP‑Universe Really Reveals</title>
      <link>https://cognaptus.com/blog/2025-08-23-usbc-for-agents-stresstested-what-mcpuniverse-really-reveals/</link>
      <pubDate>Sat, 23 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-23-usbc-for-agents-stresstested-what-mcpuniverse-really-reveals/</guid>
      <description>Salesforce’s MCP‑Universe puts LLM agents through real, tool‑connected tasks—and exposes where today’s models and frameworks actually break. Here’s what matters for business automation.</description>
    </item>
    <item>
      <title>Quants With a Plan: Agentic Workflows That Outtrade AutoML</title>
      <link>https://cognaptus.com/blog/2025-08-20-quants-with-a-plan-agentic-workflows-that-outtrade-automl/</link>
      <pubDate>Wed, 20 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-20-quants-with-a-plan-agentic-workflows-that-outtrade-automl/</guid>
      <description>TS-Agent shows how a structured, auditable agentic workflow—armed with model/refinement knowledge banks—beats generic AutoML on forecasting and synthetic generation for financial time series.</description>
    </item>
    <item>
      <title>Keys to the Kingdom: How LLMs Can Audit Crypto Logic Before It Breaks</title>
      <link>https://cognaptus.com/blog/2025-08-18-keys-to-the-kingdom-how-llms-can-audit-crypto-logic-before-it-breaks/</link>
      <pubDate>Mon, 18 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-18-keys-to-the-kingdom-how-llms-can-audit-crypto-logic-before-it-breaks/</guid>
      <description>CryptoScope marries CoT &#43; RAG with a curated crypto knowledge base to catch logic-level bugs that static rules miss—boosting multiple LLMs and surfacing real, previously unknown flaws.</description>
    </item>
    <item>
      <title>Knows the Facts, Misses the Plot: LLMs’ Knowledge–Reasoning Split in Clinical NLI</title>
      <link>https://cognaptus.com/blog/2025-08-18-knows-the-facts-misses-the-plot-llms-knowledgereasoning-split-in-clinical-nli/</link>
      <pubDate>Mon, 18 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-18-knows-the-facts-misses-the-plot-llms-knowledgereasoning-split-in-clinical-nli/</guid>
      <description>Clinical NLI study shows LLMs recall medical facts but collapse on structured inference—especially compositional grounding—revealing architectural limits and practical risks.</description>
    </item>
    <item>
      <title>Skip or Split? How LLMs Can Make Old-School Planners Run Circles Around Complexity</title>
      <link>https://cognaptus.com/blog/2025-08-18-skip-or-split-how-llms-can-make-oldschool-planners-run-circles-around-complexity/</link>
      <pubDate>Mon, 18 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-18-skip-or-split-how-llms-can-make-oldschool-planners-run-circles-around-complexity/</guid>
      <description>Two ways to bolt LLMs onto classical planners—either skip ahead with action tips or split the path with predicted milestones—and why the ‘split’ camp usually wins.</description>
    </item>
    <item>
      <title>Fast &amp; Curious: How ‘Speed-First’ LLM Architectures Change the Build vs. Buy Math</title>
      <link>https://cognaptus.com/blog/2025-08-16-fast-curious-how-speedfirst-llm-architectures-change-the-build-vs-buy-math/</link>
      <pubDate>Sat, 16 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-16-fast-curious-how-speedfirst-llm-architectures-change-the-build-vs-buy-math/</guid>
      <description>From linear attention to MoE and diffusion LLMs—what ‘efficient by design’ really means for cost, latency, and roadmap decisions in AI products.</description>
    </item>
    <item>
      <title>Forecast: Mostly Context with a Chance of Routing</title>
      <link>https://cognaptus.com/blog/2025-08-16-forecast-mostly-context-with-a-chance-of-routing/</link>
      <pubDate>Sat, 16 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-16-forecast-mostly-context-with-a-chance-of-routing/</guid>
      <description>Four zero‑shot prompting strategies that turn LLMs into practical, context‑aware forecasters—and when each one wins in the real world.</description>
    </item>
    <item>
      <title>Train Long, Think Short: How Curriculum Learning Makes LLMs Think Smarter, Not Longer</title>
      <link>https://cognaptus.com/blog/2025-08-13-train-long-think-short-how-curriculum-learning-makes-llms-think-smarter-not-longer/</link>
      <pubDate>Wed, 13 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-13-train-long-think-short-how-curriculum-learning-makes-llms-think-smarter-not-longer/</guid>
      <description>A new training strategy uses progressive token budgets to teach large language models to keep reasoning concise without sacrificing accuracy, unlocking major cost and efficiency gains.</description>
    </item>
    <item>
      <title>Textual Gradients and Workflow Evolution: How AdaptFlow Reinvents Meta-Learning for AI Agents</title>
      <link>https://cognaptus.com/blog/2025-08-12-textual-gradients-and-workflow-evolution-how-adaptflow-reinvents-metalearning-for-ai-agents/</link>
      <pubDate>Tue, 12 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-12-textual-gradients-and-workflow-evolution-how-adaptflow-reinvents-metalearning-for-ai-agents/</guid>
      <description>AdaptFlow uses natural language &amp;#39;textual gradients&amp;#39; to meta-learn adaptable AI workflows, enabling faster, domain-agnostic adaptation than static agent templates.</description>
    </item>
    <item>
      <title>Fair or Foul? How LLMs ‘Appraise’ Emotions</title>
      <link>https://cognaptus.com/blog/2025-08-11-fair-or-foul-how-llms-appraise-emotions/</link>
      <pubDate>Mon, 11 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-11-fair-or-foul-how-llms-appraise-emotions/</guid>
      <description>Beyond sentiment: what a new benchmark (CoRE) reveals about the cognitive structure behind model ‘emotions’—and what builders should do about it.</description>
    </item>
    <item>
      <title>From Ballots to Budgets: Can LLMs Be Trusted as Social Planners?</title>
      <link>https://cognaptus.com/blog/2025-08-11-from-ballots-to-budgets-can-llms-be-trusted-as-social-planners/</link>
      <pubDate>Mon, 11 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-11-from-ballots-to-budgets-can-llms-be-trusted-as-social-planners/</guid>
      <description>Exploring how large language models handle participatory budgeting, from structured votes to inferred preferences, and what it means for AI-driven decision-making.</description>
    </item>
    <item>
      <title>From Byline to Botline: How LLMs Are Quietly Rewriting the News</title>
      <link>https://cognaptus.com/blog/2025-08-11-from-byline-to-botline-how-llms-are-quietly-rewriting-the-news/</link>
      <pubDate>Mon, 11 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-11-from-byline-to-botline-how-llms-are-quietly-rewriting-the-news/</guid>
      <description>A data-driven look at the rise of AI-generated news content, who’s using it most, and how it’s reshaping journalism’s style and substance.</description>
    </item>
    <item>
      <title>From Black Box to Glass Box: DeepVIS Makes Data Visualization Explain Itself</title>
      <link>https://cognaptus.com/blog/2025-08-09-from-black-box-to-glass-box-deepvis-makes-data-visualization-explain-itself/</link>
      <pubDate>Sat, 09 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-09-from-black-box-to-glass-box-deepvis-makes-data-visualization-explain-itself/</guid>
      <description>A new Chain-of-Thought framework transforms AI-driven visualizations from opaque outputs into transparent, editable reasoning chains.</description>
    </item>
    <item>
      <title>From Stage to Script: How AMADEUS Keeps AI Characters in Character</title>
      <link>https://cognaptus.com/blog/2025-08-09-from-stage-to-script-how-amadeus-keeps-ai-characters-in-character/</link>
      <pubDate>Sat, 09 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-09-from-stage-to-script-how-amadeus-keeps-ai-characters-in-character/</guid>
      <description>A new framework for RAG-powered role-playing agents shows how to keep digital personas consistent, even when they face questions beyond their script.</description>
    </item>
    <item>
      <title>From Zero to Reasoning Hero: How R-Zero Teaches Itself Without Human Data</title>
      <link>https://cognaptus.com/blog/2025-08-08-from-zero-to-reasoning-hero-how-rzero-teaches-itself-without-human-data/</link>
      <pubDate>Fri, 08 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-08-from-zero-to-reasoning-hero-how-rzero-teaches-itself-without-human-data/</guid>
      <description>R-Zero replaces human-labeled datasets with a Challenger–Solver self-play loop, delivering substantial reasoning gains without a single pre-made task.</description>
    </item>
    <item>
      <title>Mind the Gap: How Tool Graph Retriever Fixes LLMs’ Missing Links</title>
      <link>https://cognaptus.com/blog/2025-08-08-mind-the-gap-how-tool-graph-retriever-fixes-llms-missing-links/</link>
      <pubDate>Fri, 08 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-08-mind-the-gap-how-tool-graph-retriever-fixes-llms-missing-links/</guid>
      <description>Exploring how Tool Graph Retriever uses dependency graphs to close the gap in LLM tool retrieval, boosting accuracy and reliability in AI agent workflows.</description>
    </item>
    <item>
      <title>The Diligent but Brittle Student Inside Every LLM</title>
      <link>https://cognaptus.com/blog/2025-08-08-the-diligent-but-brittle-student-inside-every-llm/</link>
      <pubDate>Fri, 08 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-08-the-diligent-but-brittle-student-inside-every-llm/</guid>
      <description>What a year-long simulation of ‘students’ reveals about the way LLMs actually learn—and why their confidence may be their biggest weakness.</description>
    </item>
    <item>
      <title>From Tadpole to Titan: How DEVFT Grows LLMs Like a Brain</title>
      <link>https://cognaptus.com/blog/2025-08-04-from-tadpole-to-titan-how-devft-grows-llms-like-a-brain/</link>
      <pubDate>Mon, 04 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-04-from-tadpole-to-titan-how-devft-grows-llms-like-a-brain/</guid>
      <description>Inspired by cognitive development, DEVFT trains large models in small steps, dramatically reducing the cost of federated fine-tuning on edge devices.</description>
    </item>
    <item>
      <title>Thinking Without Talking: How SynAdapt Lets LLMs Reason in Silence</title>
      <link>https://cognaptus.com/blog/2025-08-04-thinking-without-talking-how-synadapt-lets-llms-reason-in-silence/</link>
      <pubDate>Mon, 04 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-04-thinking-without-talking-how-synadapt-lets-llms-reason-in-silence/</guid>
      <description>SynAdapt introduces synthetic continuous chain-of-thought (CCoT) reasoning to boost LLM efficiency without compromising on accuracy.</description>
    </item>
    <item>
      <title>From Scroll to Structure: Rethinking Academic Reading with TreeReader</title>
      <link>https://cognaptus.com/blog/2025-08-02-from-scroll-to-structure-rethinking-academic-reading-with-treereader/</link>
      <pubDate>Sat, 02 Aug 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-08-02-from-scroll-to-structure-rethinking-academic-reading-with-treereader/</guid>
      <description>TreeReader introduces a radical shift in how we engage with academic papers—moving from linear PDFs to interactive, LLM-powered trees that summarize and contextualize scientific content.</description>
    </item>
    <item>
      <title>Echoes in the Algorithm: How GPT-4o&#39;s Stories Flatten Global Culture</title>
      <link>https://cognaptus.com/blog/2025-07-31-echoes-in-the-algorithm-how-gpt4os-stories-flatten-global-culture/</link>
      <pubDate>Thu, 31 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-31-echoes-in-the-algorithm-how-gpt4os-stories-flatten-global-culture/</guid>
      <description>Exploring the narrative-level bias in GPT-4o-generated stories, and how AI flattens cultural diversity into nostalgic, conflict-free plotlines.</description>
    </item>
    <item>
      <title>From Chaos to Care: Structuring LLMs with Clinical Guidelines</title>
      <link>https://cognaptus.com/blog/2025-07-31-from-chaos-to-care-structuring-llms-with-clinical-guidelines/</link>
      <pubDate>Thu, 31 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-31-from-chaos-to-care-structuring-llms-with-clinical-guidelines/</guid>
      <description>CliCARE introduces a novel way to ground LLMs in clinical guidelines using Temporal Knowledge Graphs, enabling safer and more interpretable decision support for complex cancer EHRs.</description>
    </item>
    <item>
      <title>RAG in the Wild: When More Knowledge Hurts</title>
      <link>https://cognaptus.com/blog/2025-07-29-rag-in-the-wild-when-more-knowledge-hurts/</link>
      <pubDate>Tue, 29 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-29-rag-in-the-wild-when-more-knowledge-hurts/</guid>
      <description>RAG pipelines thrive in clean settings, but this new study shows how they falter in real-world, multi-domain deployments. Here&amp;#39;s what it means for businesses building AI systems.</description>
    </item>
    <item>
      <title>Factor Factory: How LLMs Are Reinventing Sparse Portfolio Optimization</title>
      <link>https://cognaptus.com/blog/2025-07-27-factor-factory-how-llms-are-reinventing-sparse-portfolio-optimization/</link>
      <pubDate>Sun, 27 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-27-factor-factory-how-llms-are-reinventing-sparse-portfolio-optimization/</guid>
      <description>By evolving alpha factors using large language models, EFS breaks free from static financial modeling and delivers robust, interpretable portfolios under sparse constraints.</description>
    </item>
    <item>
      <title>The Sentiment Edge: How FinDPO Trains LLMs to Think Like Traders</title>
      <link>https://cognaptus.com/blog/2025-07-27-the-sentiment-edge-how-findpo-trains-llms-to-think-like-traders/</link>
      <pubDate>Sun, 27 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-27-the-sentiment-edge-how-findpo-trains-llms-to-think-like-traders/</guid>
      <description>FinDPO ditches traditional fine-tuning in favor of preference optimization, setting a new bar for sentiment-based algorithmic trading performance.</description>
    </item>
    <item>
      <title>From Graph to Grit: Diagnosing Warehouse Bottlenecks with LLMs and Knowledge Graphs</title>
      <link>https://cognaptus.com/blog/2025-07-26-from-graph-to-grit-diagnosing-warehouse-bottlenecks-with-llms-and-knowledge-graphs/</link>
      <pubDate>Sat, 26 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-26-from-graph-to-grit-diagnosing-warehouse-bottlenecks-with-llms-and-knowledge-graphs/</guid>
      <description>A novel framework turns warehouse simulation outputs into intelligent insights by combining Knowledge Graphs with LLM-driven reasoning.</description>
    </item>
    <item>
      <title>Planners, Meet Your Smart Sidekick</title>
      <link>https://cognaptus.com/blog/2025-07-26-planners-meet-your-smart-sidekick/</link>
      <pubDate>Sat, 26 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-26-planners-meet-your-smart-sidekick/</guid>
      <description>How SMARTAPS blends LLMs and OR tools to transform supply chain planning from a consultant bottleneck into a conversation.</description>
    </item>
    <item>
      <title>The Most Dangerous Query Is the One You Don&#39;t Question</title>
      <link>https://cognaptus.com/blog/2025-07-25-the-most-dangerous-query-is-the-one-you-dont-question/</link>
      <pubDate>Fri, 25 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-25-the-most-dangerous-query-is-the-one-you-dont-question/</guid>
      <description>VeriMinder tackles a subtle yet critical blindspot in natural language interfaces to databases: analytical vulnerabilities that emerge when users ask the wrong questions.</description>
    </item>
    <item>
      <title>Think Twice, Then Speak: Deliberative Searcher and the Future of Reliable LLMs</title>
      <link>https://cognaptus.com/blog/2025-07-23-think-twice-then-speak-deliberative-searcher-and-the-future-of-reliable-llms/</link>
      <pubDate>Wed, 23 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-23-think-twice-then-speak-deliberative-searcher-and-the-future-of-reliable-llms/</guid>
      <description>A new paradigm in LLM design prioritizes reasoning over retrieval, introducing confidence-calibrated reinforcement learning to improve trust in open-domain QA.</description>
    </item>
    <item>
      <title>Latent Brilliance: Turning LLMs into Creativity Engines</title>
      <link>https://cognaptus.com/blog/2025-07-21-latent-brilliance-turning-llms-into-creativity-engines/</link>
      <pubDate>Mon, 21 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-21-latent-brilliance-turning-llms-into-creativity-engines/</guid>
      <description>A new framework turns large language models into structured novelty generators by navigating the latent space of ideas—no prompt hacking required.</description>
    </item>
    <item>
      <title>Serverless Bulls and Bears: How One Developer Built a Real-Time Stock Analyst with Zero Infrastructure</title>
      <link>https://cognaptus.com/blog/2025-07-15-serverless-bulls-and-bears-how-one-developer-built-a-realtime-stock-analyst-with-zero-infrastructure/</link>
      <pubDate>Tue, 15 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-15-serverless-bulls-and-bears-how-one-developer-built-a-realtime-stock-analyst-with-zero-infrastructure/</guid>
      <description>Exploring how serverless tools and LLMs enabled a solo developer to build a fully automated, real-time stock analysis system — and what it means for the future of AI-driven financial intelligence.</description>
    </item>
    <item>
      <title>Tables Turned: Why LLM-Based Table Agents Are the Next Big Leap in Business AI</title>
      <link>https://cognaptus.com/blog/2025-07-15-tables-turned-why-llmbased-table-agents-are-the-next-big-leap-in-business-ai/</link>
      <pubDate>Tue, 15 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-15-tables-turned-why-llmbased-table-agents-are-the-next-big-leap-in-business-ai/</guid>
      <description>As tables go from static spreadsheets to dynamic data canvases, a new breed of AI agents is emerging to reason, generate, and act on tabular data. We explore how LLM-based Table Agents are reshaping enterprise workflows.</description>
    </item>
    <item>
      <title>The Retrieval-Reasoning Tango: Charting the Rise of Agentic RAG</title>
      <link>https://cognaptus.com/blog/2025-07-15-the-retrievalreasoning-tango-charting-the-rise-of-agentic-rag/</link>
      <pubDate>Tue, 15 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-15-the-retrievalreasoning-tango-charting-the-rise-of-agentic-rag/</guid>
      <description>Why static pipelines no longer cut it, and how agentic RAG is redefining knowledge retrieval and reasoning for LLMs.</description>
    </item>
    <item>
      <title>Plug Me In: Why LLMs with Tools Beat LLMs with Size</title>
      <link>https://cognaptus.com/blog/2025-07-14-plug-me-in-why-llms-with-tools-beat-llms-with-size/</link>
      <pubDate>Mon, 14 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-14-plug-me-in-why-llms-with-tools-beat-llms-with-size/</guid>
      <description>The Athena framework shows why even the smartest LLMs still need calculators, calendars, and APIs to truly perform.</description>
    </item>
    <item>
      <title>The Rise of the Self-Evolving Scientist: STELLA and the Future of Biomedical AI</title>
      <link>https://cognaptus.com/blog/2025-07-13-the-rise-of-the-selfevolving-scientist-stella-and-the-future-of-biomedical-ai/</link>
      <pubDate>Sun, 13 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-13-the-rise-of-the-selfevolving-scientist-stella-and-the-future-of-biomedical-ai/</guid>
      <description>STELLA, a self-evolving AI agent, pushes the boundaries of biomedical discovery by autonomously expanding its reasoning strategies and toolset.</description>
    </item>
    <item>
      <title>LLMs Meet Logic: SymbolicThought Turns AI Relationship Guesswork into Graphs</title>
      <link>https://cognaptus.com/blog/2025-07-12-llms-meet-logic-symbolicthought-turns-ai-relationship-guesswork-into-graphs/</link>
      <pubDate>Sat, 12 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-12-llms-meet-logic-symbolicthought-turns-ai-relationship-guesswork-into-graphs/</guid>
      <description>SymbolicThought bridges large language models with symbolic reasoning to create consistent, editable character relationship graphs from narratives.</description>
    </item>
    <item>
      <title>The Meek Shall Compute It</title>
      <link>https://cognaptus.com/blog/2025-07-12-the-meek-shall-compute-it/</link>
      <pubDate>Sat, 12 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-12-the-meek-shall-compute-it/</guid>
      <description>Diminishing returns to compute suggest that modest AI models may soon rival today&amp;#39;s giants. What this means for innovation, inequality, and governance.</description>
    </item>
    <item>
      <title>Echo Chamber in a Prompt: How Survey Bias Creeps into LLMs</title>
      <link>https://cognaptus.com/blog/2025-07-11-echo-chamber-in-a-prompt-how-survey-bias-creeps-into-llms/</link>
      <pubDate>Fri, 11 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-11-echo-chamber-in-a-prompt-how-survey-bias-creeps-into-llms/</guid>
      <description>A deep dive into how large language models mirror human-like biases in survey responses—and what this means for using LLMs as synthetic survey participants.</description>
    </item>
    <item>
      <title>Beyond the Pareto Frontier: Pricing LLM Mistakes in the Real World</title>
      <link>https://cognaptus.com/blog/2025-07-08-beyond-the-pareto-frontier-pricing-llm-mistakes-in-the-real-world/</link>
      <pubDate>Tue, 08 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-08-beyond-the-pareto-frontier-pricing-llm-mistakes-in-the-real-world/</guid>
      <description>An economic framework proposes a radical rethink of how we evaluate LLM performance, shifting from accuracy-cost scatter plots to dollar-based tradeoffs tailored to real-world use cases.</description>
    </item>
    <item>
      <title>The Phantom Menace in Your Knowledge Base</title>
      <link>https://cognaptus.com/blog/2025-07-08-the-phantom-menace-in-your-knowledge-base/</link>
      <pubDate>Tue, 08 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-08-the-phantom-menace-in-your-knowledge-base/</guid>
      <description>How invisible document attacks on RAG data loaders threaten the integrity of enterprise AI systems.</description>
    </item>
    <item>
      <title>Talk is Flight: How RALLY Bridges Language and Learning in UAV Swarms</title>
      <link>https://cognaptus.com/blog/2025-07-07-talk-is-flight-how-rally-bridges-language-and-learning-in-uav-swarms/</link>
      <pubDate>Mon, 07 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-07-talk-is-flight-how-rally-bridges-language-and-learning-in-uav-swarms/</guid>
      <description>RALLY blends large language models with reinforcement learning to enable intelligent, role-adaptive control of UAV swarms in adversarial environments.</description>
    </item>
    <item>
      <title>Brains with Gradients: Why Energy-Based Transformers Might Be the Future of Thinking Machines</title>
      <link>https://cognaptus.com/blog/2025-07-04-brains-with-gradients-why-energybased-transformers-might-be-the-future-of-thinking-machines/</link>
      <pubDate>Fri, 04 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-04-brains-with-gradients-why-energybased-transformers-might-be-the-future-of-thinking-machines/</guid>
      <description>A deep dive into Energy-Based Transformers (EBTs), a new model architecture that mimics human-like System 2 Thinking through unsupervised energy minimization, outperforming classical Transformers in scalability and generalization.</description>
    </item>
    <item>
      <title>Memory Over Matter: How MemAgent Redefines Long-Context Reasoning with Reinforcement Learning</title>
      <link>https://cognaptus.com/blog/2025-07-04-memory-over-matter-how-memagent-redefines-longcontext-reasoning-with-reinforcement-learning/</link>
      <pubDate>Fri, 04 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-04-memory-over-matter-how-memagent-redefines-longcontext-reasoning-with-reinforcement-learning/</guid>
      <description>MemAgent presents a radical solution to the long-context bottleneck in LLMs by training a memory-aware agent through reinforcement learning, enabling linear-time extrapolation to millions of tokens.</description>
    </item>
    <item>
      <title>Hive Minds and Hallucinations: A Smarter Way to Trust LLMs</title>
      <link>https://cognaptus.com/blog/2025-07-03-hive-minds-and-hallucinations-a-smarter-way-to-trust-llms/</link>
      <pubDate>Thu, 03 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-03-hive-minds-and-hallucinations-a-smarter-way-to-trust-llms/</guid>
      <description>How a multi-agent system combining fuzzy logic and LLMs creates safer, smarter customer service automation.</description>
    </item>
    <item>
      <title>Beyond the Pull Request: What ChatGPT Teaches Us About Productivity</title>
      <link>https://cognaptus.com/blog/2025-07-01-beyond-the-pull-request-what-chatgpt-teaches-us-about-productivity/</link>
      <pubDate>Tue, 01 Jul 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-07-01-beyond-the-pull-request-what-chatgpt-teaches-us-about-productivity/</guid>
      <description>The ChatGPT ban in Italy reveals how LLMs reshape software development far beyond code generation: fostering collaboration, accelerating skill acquisition, and narrowing productivity gaps.</description>
    </item>
    <item>
      <title>The Outlier Is a Lie: Quantization Breakthroughs with OSP</title>
      <link>https://cognaptus.com/blog/2025-06-25-the-outlier-is-a-lie-quantization-breakthroughs-with-osp/</link>
      <pubDate>Wed, 25 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-06-25-the-outlier-is-a-lie-quantization-breakthroughs-with-osp/</guid>
      <description>How the Outlier-Safe Pre-Training (OSP) framework redefines quantization for large language models, eliminating massive activations without sacrificing performance.</description>
    </item>
    <item>
      <title>Divide and Conquer: How LLMs Learn to Teach</title>
      <link>https://cognaptus.com/blog/2025-06-24-divide-and-conquer-how-llms-learn-to-teach/</link>
      <pubDate>Tue, 24 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-06-24-divide-and-conquer-how-llms-learn-to-teach/</guid>
      <description>A study reveals how decomposing lesson design into modular steps helps LLMs generate more effective tutor training materials, illuminating a path for scalable, human-AI collaborative education.</description>
    </item>
    <item>
      <title>Proofs and Consequences: How Math Reveals What AI Still Doesn’t Know</title>
      <link>https://cognaptus.com/blog/2025-06-23-proofs-and-consequences-how-math-reveals-what-ai-still-doesnt-know/</link>
      <pubDate>Mon, 23 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-06-23-proofs-and-consequences-how-math-reveals-what-ai-still-doesnt-know/</guid>
      <description>An accessible look at how top AI models struggle with writing real mathematical proofs—and what this reveals about their limits in logic and reasoning.</description>
    </item>
    <item>
      <title>From Sparse to Smart: How PROGRM Elevates GUI Agent Training</title>
      <link>https://cognaptus.com/blog/2025-05-26-from-sparse-to-smart-how-progrm-elevates-gui-agent-training/</link>
      <pubDate>Mon, 26 May 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-05-26-from-sparse-to-smart-how-progrm-elevates-gui-agent-training/</guid>
      <description>A deep dive into PROGRM, a novel progress-based reward model that transforms reinforcement learning for GUI agents by delivering fine-grained, actionable feedback.</description>
    </item>
    <item>
      <title>Divide and Model: How Multi-Agent LLMs Are Rethinking Real-World Problem Solving</title>
      <link>https://cognaptus.com/blog/2025-05-23-divide-and-model-how-multiagent-llms-are-rethinking-realworld-problem-solving/</link>
      <pubDate>Fri, 23 May 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-05-23-divide-and-model-how-multiagent-llms-are-rethinking-realworld-problem-solving/</guid>
      <description>ModelingAgent introduces a new benchmark and architecture for solving open-ended, interdisciplinary mathematical problems using a structured team of LLM-powered agents.</description>
    </item>
    <item>
      <title>From Trees to Truths: Making MCTS Talk with Logic-Backed LLMs</title>
      <link>https://cognaptus.com/blog/2025-05-04-from-trees-to-truths-making-mcts-talk-with-logicbacked-llms/</link>
      <pubDate>Sun, 04 May 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-05-04-from-trees-to-truths-making-mcts-talk-with-logicbacked-llms/</guid>
      <description>This article explores a logic-augmented LLM framework designed to explain Monte Carlo Tree Search (MCTS) decisions using natural language. Tested in paratransit planning, the system bridges the interpretability gap in sequential planning.</description>
    </item>
    <item>
      <title>The Right Tool for the Thought: How LLMs Solve Research Problems in Three Acts</title>
      <link>https://cognaptus.com/blog/2025-04-24-the-right-tool-for-the-thought-how-llms-solve-research-problems-in-three-acts/</link>
      <pubDate>Thu, 24 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-04-24-the-right-tool-for-the-thought-how-llms-solve-research-problems-in-three-acts/</guid>
      <description>This article dives into three research case studies that illustrate how Large Language Models (LLMs) can replace rule-based methods for unstructured data processing tasks, showing where AI excels and why precision settings like temperature and prompt design matter.</description>
    </item>
    <item>
      <title>Traces of War: Surviving the LLM Arms Race</title>
      <link>https://cognaptus.com/blog/2025-04-19-traces-of-war-surviving-the-llm-arms-race/</link>
      <pubDate>Sat, 19 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-04-19-traces-of-war-surviving-the-llm-arms-race/</guid>
      <description>As AI giants develop antidistillation techniques to protect proprietary models, startups must adapt by optimizing workflows, aligning with client needs, and selecting cost-effective tools to stay competitive.</description>
    </item>
    <item>
      <title>Agents in Formation: Fine-Tune Meets Fine-Structure in Quant AI</title>
      <link>https://cognaptus.com/blog/2025-04-17-agents-in-formation-finetune-meets-finestructure-in-quant-ai/</link>
      <pubDate>Thu, 17 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-04-17-agents-in-formation-finetune-meets-finestructure-in-quant-ai/</guid>
      <description>Blending fine-tuned reasoning models with evolving agent frameworks, this article explores a hybrid architecture that powers verticalized LLM applications in complex quantitative investment workflows.</description>
    </item>
    <item>
      <title>Case Closed: How CBR-LLMs Unlock Smarter Business Automation</title>
      <link>https://cognaptus.com/blog/2025-04-10-case-closed-how-cbrllms-unlock-smarter-business-automation/</link>
      <pubDate>Thu, 10 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-04-10-case-closed-how-cbrllms-unlock-smarter-business-automation/</guid>
      <description>By combining Case-Based Reasoning with Large Language Models, we can supercharge business process automation with adaptive memory, explainability, and self-improvement.</description>
    </item>
    <item>
      <title>Weights and Measures: OpenAI&#39;s Innovator’s Dilemma</title>
      <link>https://cognaptus.com/blog/2025-04-05-weights-and-measures-openais-innovators-dilemma/</link>
      <pubDate>Sat, 05 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-04-05-weights-and-measures-openais-innovators-dilemma/</guid>
      <description>As OpenAI signals a pivot towards open-source language models, we explore the classic innovator’s dilemma it faces: balancing profit protection with ecosystem dominance.</description>
    </item>
    <item>
      <title>Guess How Much? Why Smart Devs Brag About Cheap AI Models</title>
      <link>https://cognaptus.com/blog/2025-03-30-guess-how-much-smart-devs-love-cheap-llms/</link>
      <pubDate>Sun, 30 Mar 2025 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/blog/2025-03-30-guess-how-much-smart-devs-love-cheap-llms/</guid>
      <description>Cheap doesn’t mean dumb. With smart prompt engineering and retries, low-cost LLMs can outperform expectations. Here’s how savvy developers save money and still deliver high-quality results — with full March 2025 pricing data and benchmarks.</description>
    </item>
    <item>
      <title>BLOOM</title>
      <link>https://cognaptus.com/datahub/models/bloom/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/bloom/</guid>
      <description>A multilingual large language model developed by the BigScience initiative, capable of generating text in 46 languages and 13 programming languages.</description>
    </item>
    <item>
      <title>Claude 3 Sonnet</title>
      <link>https://cognaptus.com/datahub/models/claude-3-sonnet/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/claude-3-sonnet/</guid>
      <description>A mid-sized member of Anthropic’s Claude 3 model family, optimized for balanced performance across reasoning, speed, and multimodal understanding.</description>
    </item>
    <item>
      <title>Gemma 3 (Keras)</title>
      <link>https://cognaptus.com/datahub/models/gemma-3-keras/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/gemma-3-keras/</guid>
      <description>An experimental LLM built using Keras 3 and JAX/TPU, designed to showcase research-focused model development on the Kaggle Models platform.</description>
    </item>
    <item>
      <title>Gemma 7B</title>
      <link>https://cognaptus.com/datahub/models/gemma-7b/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/gemma-7b/</guid>
      <description>A 7-billion-parameter open-weight language model developed by Google, optimized for efficiency, safety, and general-purpose reasoning.</description>
    </item>
    <item>
      <title>Grok-1</title>
      <link>https://cognaptus.com/datahub/models/grok-1/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/grok-1/</guid>
      <description>An open-weight language model released by xAI (Elon Musk’s AI company), intended for research and analysis, with performance comparable to top-tier 2023 models.</description>
    </item>
    <item>
      <title>Grok-2</title>
      <link>https://cognaptus.com/datahub/models/grok-2/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/grok-2/</guid>
      <description>The next-generation model from xAI, built on a new architecture and fully integrated into X (formerly Twitter) as part of Elon Musk’s AI assistant efforts.</description>
    </item>
    <item>
      <title>LLaMA 2 7B (Base)</title>
      <link>https://cognaptus.com/datahub/models/llama-2-7b-base/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/llama-2-7b-base/</guid>
      <description>Meta&amp;rsquo;s 7B-parameter base language model from the LLaMA 2 series, designed for general-purpose pretraining and customizable fine-tuning.</description>
    </item>
    <item>
      <title>LLaMA 2 7B Chat (Hugging Face)</title>
      <link>https://cognaptus.com/datahub/models/llama-2-7b-chat-hugging-face/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/llama-2-7b-chat-hugging-face/</guid>
      <description>Meta&amp;rsquo;s 7B-parameter instruction-tuned model optimized for chat, dialogue, and assistant-style applications.</description>
    </item>
    <item>
      <title>LLaMA 4 Maverick 17B 128E (Original)</title>
      <link>https://cognaptus.com/datahub/models/llama-4-maverick-17b-128e-original/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/llama-4-maverick-17b-128e-original/</guid>
      <description>Meta’s experimental ultra-sparse MoE model with 128 experts, designed to explore efficient large-scale scaling and routing strategies for future LLaMA architectures.</description>
    </item>
    <item>
      <title>LLaMA 4 Scout 17B 16E</title>
      <link>https://cognaptus.com/datahub/models/llama-4-scout-17b-16e/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/llama-4-scout-17b-16e/</guid>
      <description>Meta’s experimental LLaMA 4-series MoE model with 17 billion parameters and 16 experts, designed to explore sparse routing and scaling strategies.</description>
    </item>
    <item>
      <title>Meta Llama 3 8B</title>
      <link>https://cognaptus.com/datahub/models/meta-llama-3-8b/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/meta-llama-3-8b/</guid>
      <description>A next-generation 8-billion-parameter open-weight language model from Meta, optimized for reasoning and general-purpose tasks.</description>
    </item>
    <item>
      <title>Mixtral 8x7B Instruct v0.1</title>
      <link>https://cognaptus.com/datahub/models/mixtral-8x7b-instruct-v0.1/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/mixtral-8x7b-instruct-v0.1/</guid>
      <description>A powerful sparse Mixture-of-Experts (MoE) instruction-tuned language model by Mistral AI, combining efficiency and performance for chat and task-oriented generation.</description>
    </item>
    <item>
      <title>MPT-30B</title>
      <link>https://cognaptus.com/datahub/models/mpt-30b/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/mpt-30b/</guid>
      <description>A 30-billion-parameter open-source language model from MosaicML — a strong, general-purpose LLM balancing scale, performance, and inference efficiency.</description>
    </item>
    <item>
      <title>OpenAI o1</title>
      <link>https://cognaptus.com/datahub/models/openai-o1/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/openai-o1/</guid>
      <description>An advanced, text-only language model from OpenAI with GPT-4-level capabilities, optimized for performance, efficiency, and competitive benchmarks.</description>
    </item>
    <item>
      <title>QWQ-32B</title>
      <link>https://cognaptus.com/datahub/models/qwq-32b/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://cognaptus.com/datahub/models/qwq-32b/</guid>
      <description>A 32-billion-parameter large language model developed by Qwen LM, designed to deliver high-quality instruction following and multilingual chat capabilities.</description>
    </item>
  </channel>
</rss>
