Mastering Tunix: JAX-Native LLM Post-Training Library

Welcome to the ultimate resource for mastering Tunix, the JAX-native library for LLM post-training. This collection of chapters provides a comprehensive journey from foundational concepts to advanced applications. Explore setup, core features, real-world examples, and best practices to unlock your full potential with Tunix.

Chapters

1. 01 The World of LLM Post-Training and Tunix 10m
2. 02 Setting Up Your Tunix Environment 9m
3. 03 JAX Essentials for Tunix Users 12m
4. 04 Your First Supervised Fine-Tuning (SFT) Project with Tunix 15m
5. 05 Prepare & Load Data for Tunix LLM: Tokenization & JAX Pipelines 14m
6. 06 Tunix LLM Architectures: Functional State Management with JAX 14m
7. 07 RLHF: Principles for Aligning LLMs with Human Values 10m
8. 08 Implementing Basic RLHF Workflows with Tunix 13m
9. 09 Distributed Training and Scaling with Tunix 17m
10. 11 Define Custom Loss Functions, Optimizers, and Callbacks in Tunix 19m
11. 12 Implement PPO for Robust LLM Alignment with RLHF 14m
12. 13 Build a Specialized Conversational AI with Tunix Fine-Tuning 17m
13. 14 Practical LLM Alignment for Factual Accuracy using Tunix 16m
14. 15 Diagnose and Resolve Issues in Tunix Workflows with JAX 18m
15. 16 Deployment Strategies for Fine-Tuned LLMs 15m
16. 17 Ethical Considerations and Responsible AI in Post-Training 12m