Post-Training
Post-training refers to the process of refining and optimizing large language models after their initial pre-training phase. This involves techniques like fine-tuning, alignment, and safety enhancements to make models more useful, accurate, and safe for specific applications.
Companies urgently need post-training experts because deploying raw foundation models is insufficient for production use—they require alignment with human values, reduction of harmful outputs, and customization for specific domains. The AI safety race and competitive pressure to release reliable, enterprise-ready models have made this skill critical for reducing hallucinations and ensuring responsible AI deployment.
🎓 Courses
Post-Training for LLMs
DeepLearning.AI course on post-training techniques for LLMs including RLHF, DPO, and alignment
Fine-Tuning Large Language Models
Hands-on course covering supervised fine-tuning, LoRA, and post-training optimization
📖 Books
The RLHF Book: Reinforcement learning from human feedback, alignment, and post-training LLMs: Lambert, Nathan: 9781633434301
· 2025
Get a free eBook (PDF or ePub) ... you purchase the print book. This is the authoritative guide for Reinforcement learning from human feedback
🛠️ Tutorials & Guides
How language model post-training is done today
I’m far more optimistic about the state of open recipes for and knowledge of post-training starting 2025 than I was starting 2024. Last year one of my
Generative AI in the Real World: Sharon Zhou on Post-Training
Post-training gets your model to behave the way you want it to. As AMD VP of AI Sharon Zhou explains to Ben on this episode, the fron
LLM Post-Training 101 + Prompt Engineering vs Context Engineering | AI & ML Monthly
Welcome to machine learning & AI monthly for September 2025.This is the video version of the newsletter I write every month which covers the lates
Learn to align LLMs through post-training in this new course with AMD!
Learn more: https://bit.ly/47ict9OLearn to align and optimize LLMs for real-world applications through post-training. In this course,
Everything You Wanted to Know About LLM Post-Training, with Nathan Lambert of Allen Institute for AI
In this episode of The Cognitive Revolution, we dive deep into frontier post-training techniques for large language models with Nathan Lambert from th
@TheTuringPost: Is RL dead for post-training?
Discussion on the role of reinforcement learning in LLM post-training
@AmyPrb: I'm on the job market - My work has been around post-training
Research thread on post-training methods and alignment techniques
Learning resources last updated: March 17, 2026