After ChatGPT used RLHF to become production-ready, this foundational technique exploded in popularity. In this guide, AI expert Nathan Lambert gives a true industry insider's perspective on modern RLHF training pipelines, and their trade-offs. Using hands-on experiments and mini-implementations, Nathan clearly and concisely introduces the alignment techniques that can transform a generic base model into a human-friendly tool.

Plus, the same offer also applies to AI Governance, LLMs in Production, Transformers in Action and AI Engineering in Practice.