ML frameworks
(Example-1)
Linkedin post: Understanding Machine Learning Frameworks
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
- YouTube video course. Duration: 1h 44 mins
- This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF). For each component, it explores common practices in data collection, algorithms, and evaluation methods. This guest lecture was delivered by Yann Dubois in Stanford’s CS229: Machine Learning course, in Summer 2024.
- For more information about Stanford’s Artificial Intelligence programs visit: https://stanford.io/ai