Stanford CS336: Language Modeling from Scratch – Spring 2025

Stanford University presents the CS336 course, "Language Modeling from Scratch," for Spring 2025, a freely accessible educational resource for mastering language model development. Delivered through a YouTube playlist (Stanford CS336 Playlist), the course requires no enrollment and is open to a global audience. Led by renowned NLP experts Tatsunori Hashimoto and Percy Liang, with course assistants Marcel Röd, Neil Band, and Rohith Kudipudi, it covers foundational to advanced topics, including data collection, transformer model construction, training loops, model evaluation, model parallelism, and alignment techniques. Designed for AI practitioners, data scientists, machine learning engineers, and students with basic Python programming knowledge, the course offers hands-on lessons to build practical skills in natural language processing (NLP). No formal deadlines or costs apply, ensuring broad accessibility. Benefits include gaining expertise from Stanford’s leading researchers, enhancing career prospects in AI, and joining a global community of learners. Interested individuals can start exploring the playlist today to dive into the world of language modeling.

Location : Online, Global

Categories : Machine Learning

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