Building Language Models from the Ground Up
| Source: HN | Original article
Stanford's CS336 course teaches language modeling from scratch. Students develop their own models.
Stanford University's CS336 course, Language Modeling from Scratch, has gained significant attention for its comprehensive approach to teaching language models. As we previously explored the concept of training large language models from scratch with resources like GitHub's train-llm-from-scratch, this course takes it a step further by providing students with a hands-on experience of developing their own language models.
The course's inspiration from operating systems courses, which have students build an entire operating system, is a unique approach to teaching NLP applications. By doing so, students gain a deeper understanding of language models, which serve as the cornerstone of modern NLP applications. This understanding is crucial for advancing research in the field and improving the capacity to iterate on recent developments.
What matters most about this course is its potential to equip students with the skills to build modern large language models from scratch, enabling them to conduct more fundamental research and drive innovation in the field. As the AI landscape continues to evolve, with advancements in AI chips and the growing discussion around self-aware language models, courses like CS336 will play a vital role in shaping the next generation of AI researchers and developers.
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