AI BriefingCS336: Language Modeling from Scratch
Key point
Stanford University has released its CS336 course, covering the entire process from designing Transformer models to training and evaluation.
Details
Stanford University's CS336 course covers the process of building language models—the core of modern NLP—from scratch.
It takes a hands-on approach to the entire pipeline, from data collection and cleaning, Transformer architecture design, and model training, to evaluation before deployment.
Key Features:
- Hands-on focus: Requires writing significantly more code than other AI courses, with Python and software engineering proficiency being essential.
- Systems optimization: Includes systems optimization concepts for efficiently running neural language models in multi-machine environments using GPUs.
- Prerequisites: Requires a solid foundation in PyTorch, linear algebra, probability and statistics, and machine learning/deep learning.
Lecture videos are available via a YouTube playlist.
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