Transformers have revolutionized the field of natural language processing, serving as the foundation for cutting-edge NLP applications such as Google Bard, OpenAI’s ChatGPT, and many others. These applications harness the power of large language models, which are trained on massive corpora and reinforced learning techniques.
Press enter or click to view image in full size
One notable success story is ChatGPT, developed by OpenAI, which is built upon the GPT-3 family of large language models. In this article, we present a compilation of free courses that delve into the technical aspects of large language models, enabling you to deepen your understanding of this domain.
Let’s explore these courses:
Stanford University’s CS324: Large Language Models: This course offered by Stanford University comprehensively covers various aspects of large language models, including their capabilities, associated harms such as toxicity and misinformation, different model architectures (encoder-only, decoder-only, encoder-decoder), parallelism, scaling, adaptation, and more. You can access course materials and suggested readings on the course website.
Princeton University’s COS 597G: Understanding Large Language Models: Princeton University offers a free course, COS 597G, that takes you from the fundamentals to advanced concepts in large language models. The…
