Speaker
Description
In this session, we will present how to set up and use Large Language Models (LLMs) for various tasks, using the Hugging Face Transformers library. We will cover techniques for inference and text generation, including streaming outputs, and utilize embeddings to understand and visualize semantic relationships between words and sentences using cosine similarity. A key focus of the seminar will be on explaining the basics of Retrieval Augmented Generation (RAG), where we will demonstrate how to build a system that retrieves relevant information from a text corpus to answer user questions. By the end of this session, you will have hands-on experience with powerful LLM tools and an understanding of how to build custom LLM applications that combine language generation with information retrieval.
