About the Program
Dates: August 21–22
Format: Due to composition of attendees and to offer maximum flexibility, the bootcamp will be fully online.
This course is designed to provide a comprehensive introduction to Large Language Models (LLMs) and their practical applications. Participants will explore the evolution of language models, learn how tokenization and embeddings work, and dive into the inner workings of transformer-based architectures. It covers essential topics like prompt engineering, advanced text generation techniques, and Retrieval-Augmented Generation (RAG). Through guided exercises and real-world tools and platforms like Hugging Face, LangChain, etc. attendees will gain practical experience building LLM-powered systems.
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