{"slug": "rlhf-and-post-training-course-by-nathan-lambert", "title": "RLHF and Post-Training Course by Nathan Lambert", "summary": "Nathan Lambert has released a course on RLHF and post-training for large language models, aimed at early AI PhD or master's students but accessible to anyone with basic machine learning knowledge. The course covers ML foundations such as language modeling, KL divergence, and cross-entropy.", "body_md": "This course is roughly aimed at early AI PhD or master's students, but it is designed to be accessible to anyone willing to put in the work.\n\nIf you prefer the traditional coursework path, the usual background is the basics of language modeling / NLP plus basic machine learning (e.g. an intro to AI course and an intro to ML course).\n\n### The ML Foundations of LLM Post-Training\n\nA refresher on the ML prerequisites of post-training — language modeling, KL, cross-entropy, & other math — to acclimate to the series", "url": "https://wpnews.pro/news/rlhf-and-post-training-course-by-nathan-lambert", "canonical_source": "https://rlhfbook.com/course", "published_at": "2026-07-21 10:32:50+00:00", "updated_at": "2026-07-21 10:53:14.433728+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "large-language-models", "ai-research"], "entities": ["Nathan Lambert"], "alternates": {"html": "https://wpnews.pro/news/rlhf-and-post-training-course-by-nathan-lambert", "markdown": "https://wpnews.pro/news/rlhf-and-post-training-course-by-nathan-lambert.md", "text": "https://wpnews.pro/news/rlhf-and-post-training-course-by-nathan-lambert.txt", "jsonld": "https://wpnews.pro/news/rlhf-and-post-training-course-by-nathan-lambert.jsonld"}}