Meta Llama 3 Fine-Tuning, RAG, and Prompt Engineering for Drug Discovery
Offered By: ChemicalQDevice via YouTube
Course Description
Overview
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.
Syllabus
Meta Llama 3 Fine tuning, RAG, and Prompt Engineering for Drug Discovery
Taught by
ChemicalQDevice
Related Courses
Drug DiscoveryUniversity of California, San Diego via Coursera 新药发现和药物靶点 | Drug Discovery and its Target
Peking University via edX Principles and Applications of NMR Spectroscopy
Indian Institute of Science Bangalore via Swayam Cell Culture Technologies
Indian Institute of Technology Kanpur via Swayam Medicinal Chemistry
Indian Institute of Technology Madras via Swayam