Retrieval Augmented Generation and Extractive Summarization Techniques

Learn about two key natural language processing techniques in this one-hour lecture that explores Retrieval Augmented Generation (RAG) and Extractive Summarization. Dive into the fundamentals of RAG during the first half hour, understanding how it enhances language models by retrieving relevant information from external sources. Then transition to exploring Extractive Summarization techniques, discovering methods to automatically identify and extract the most important information from texts. Access comprehensive slides to reinforce learning and gain deeper insights into these essential NLP concepts.