Coders In Hoods

Courses
Answers
Setup
Bookmarks

Coders In Hoods Academy

Every course is free. Sign in to start, and your progress, quiz scores and bookmarks follow you.

Academy

Courses
Paths
Exercise answers
Setup guides
Bookmarks

Coders In Hoods

The agency
Coaching for teams

Social

LinkedIn
X (Twitter)

Contact

codersinhoods@gmail.com

© Coders In Hoods · since 2019

Free · no card

Coders In Hoods Academy

Sign in to start learning

Free, no card. We use your account to save progress, quiz scores, bookmarks and occasionally send updates from our team.

Course overview

Fine-Tuning and RL for Agents

Free · sign in to start and track progress

1 · Decide and prepare

1Prompt, optimise or train?
2Training data from traces
Exercise answers
- Answer: Turn teacher trajectories into a TRL dataset
- Answer: Audit the set against the test split

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

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

Answers Lesson 2: Training data from traces

Step-by-step answer

Stretch 45–60 min6 steps

Audit the set against the test split

Back to the exercise

Previous answerTurn teacher trajectories into a TRL dataset Next answer Fine-tune the triage adapter on a free GPU

Free · sign in to start

Sign in to read the answer.

Free, no card. We use your account to save progress, quiz scores, bookmarks and occasionally send updates from our team.

6 more sections
Progress, quiz scores and bookmarks