Training Agents for 2026: A Practical Course on SFT, Distillation, and RL
SergioPaniego · x · 2026-08-11
The author is sharing an ongoing live class series on "Training Agents," aiming to explore how AI agents will be trained in 2026. The first three classes cover:
- SFT (Supervised Fine-Tuning): Training on agent traces to teach a model to imitate a real coding agent's sessions.
- Distillation: Training a model on the predictions of a larger model, multiple expert models, or itself.
- Reinforcement Learning: The model attempts tasks multiple times while a reward function scores each attempt, using the comparison as a training signal.
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