An introduction to training agents by updating model weights, covering supervised fine-tuning as a cold-start stage before reinforcement learning, what trajectories teach models, and why SFT remains necessary.
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An introduction to training agents by updating model weights, covering supervised fine-tuning as a cold-start stage before reinforcement learning, what trajectories teach models, and why SFT remains necessary.
Save to open this file