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Description
This resource guide is a companion piece to the "LLMs and RAG in GenAI" course. It covers the architecture of large language models, focusing on transformers and the processes of pre-training and fine-tuning, critical to unleashing Gen AI's full potential. It includes links to various articles and guides on topics such as quantizing LLMs, fine-tuning techniques, and implementing Retrieval-Augmented Generation or RAG.