Developing Educational Applications Using Large Language Models

Course content

AI in education; natural language processing; transformer architecture; prompting and prompt engineering; pre-training LLMs; fine-tuning LLMs; tokenization; embeddings; performance ealuation; reinforcement learning; LLM applications.