Trex Marks the Spot: When AI Starts Training AI
Fine-tuning is supposed to be the practical part of AI work. You have a model. You have a task. You collect some data, choose a training recipe, run the job, look at the benchmark, and repeat until the result stops embarrassing everyone in the meeting. That tidy version is useful for slide decks. It is less useful for actual model development. ...