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Coders In Hoods

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Course overview

Fine-Tuning and RL for Agents

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1 · Decide and prepare

1Prompt, optimise or train?
2Training data from traces

2 · Supervised and preference fine-tuning

3SFT with LoRA on a free GPU
4Preference optimisation

3 · Reinforcement learning for agents

5GRPO in practice
6Designing rewards
7Multi-turn RL environments
8Reward hacking, regressions and shipping
Exercise answers
- Answer: Hunt the escalation hack and fix the reward
- Answer: Serve two adapters and gate them against the Claude baseline

CapstoneTrain a triage model, then decide whether to ship it Reference implementation

Answers Lesson 8: Reward hacking, regressions and shipping

Step-by-step answer

Stretch 3 hours7 steps

Serve two adapters and gate them against the Claude baseline

Back to the exercise

Previous answerHunt the escalation hack and fix the reward Next answer Capstone: Train a triage model, then decide whether to ship it

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