Explore advanced techniques for enhancing Meta Llama 3 for drug discovery applications in this comprehensive 1-hour video. Learn specific methods to modify and improve the pre-trained model, including steps to alter the Llama 3 open source code architecture for re-training. Delve into advanced fine-tuning techniques using PEFT/LoRA to reduce training time and parameter size. Discover how to implement RAG (retrieval augmented generation) to boost accuracy and enable source citation capabilities with live data. Gain insights into Llama 3's current built-in agentic behavior and its potential future applications in drug discovery. This video provides valuable knowledge for AI engineers and researchers looking to leverage cutting-edge language models in the pharmaceutical industry.
Meta Llama 3 for Drug Discovery - Generative AI Assistant Developments
Overview
Syllabus
Meta Llama 3 Drug Discovery Generative AI Assistant - Developments
Taught by
ChemicalQDevice
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