Book
RLHF Book
Advanced
You want to understand post-training and preference optimization.
AI educator
RLHF Book
Good route into how models are trained after pretraining.
Start with: Read the RLHF book chapters in order.
ML engineers, researchers should start here when they need rlhf, post-training, and alignment. The strongest fit is a learner who wants material in these formats: book, newsletter.
Read the RLHF book chapters in order. After that, open one related resource below and write down the exact workflow, concept, or implementation pattern you want to apply.
Good route into how models are trained after pretraining. Use this profile when you are comparing educators by topic, level, format, and practical usefulness rather than browsing random AI content.
Compare the skill coverage, the starting recommendation, the educator's own resources, and any videos when available. If you need rlhf, search the directory for that skill and shortlist three profiles before committing to a course, book, or playlist.
| Resource | Kind | Level | Use when |
|---|---|---|---|
|
Hugging Face smol-course
Hugging Face
|
Free course | Intermediate | You want a current structured course on instruction tuning, fine-tuning, and evaluation around compact open models. |
|
Polly Allen on Maven
Large Language Models for Product Managers
|
Maven cohort course | Beginner to intermediate | Use this when you want Large Language Models for Product Managers's material for llm fundamentals and related AI skills. |