Plug Me In: Why LLMs with Tools Beat LLMs with Size
The latest research out of Heriot-Watt University doesn’t just challenge the notion that bigger is better — it quietly dismantles it. In their newly released Athena framework, Nripesh Niketan and Hadj Batatia demonstrate how integrating external APIs into LLM pipelines can outperform even the likes of GPT-4o and LLaMA-Large on real tasks like math and science. And they didn’t just beat them — they lapped them. Why GPT-4 Still Fumbles Math Ask GPT-4o to solve a college-level math problem, and it might hallucinate steps or miss basic arithmetic. The reason? LLMs, even at trillion-parameter scale, are not calculators. They’re probabilistic machines trained on patterns, not deterministic reasoners. ...