Explore the application of Meta's Llama 3 large language model in drug discovery through a comprehensive 1-hour 8-minute seminar. Learn how to enhance domain-specific AI performance using fine-tuning, prompt engineering, and Retrieval Augmented Generation (RAG) techniques. Discover the process of adapting Llama 3 for specialized vocabulary and context in pharmaceutical research. Gain insights into utilizing drug discovery datasets with these advanced LLM methods. Examine a case study featuring the cancer drug candidate RTx-152 and its interactions with proteins and DNA. Acquire valuable knowledge from CEO Kevin Kawchak on leveraging cutting-edge AI technologies to accelerate and improve drug development processes.
Meta Llama 3 Fine-Tuning, RAG, and Prompt Engineering for Drug Discovery
Overview
Syllabus
Meta Llama 3 Fine tuning, RAG, and Prompt Engineering for Drug Discovery
Taught by
ChemicalQDevice
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