Fine-Tune LLama-3 and Build Accurate Knowledge Retrieval for Healthcare

In this talk from Davit Buniatyan, Founder & CEO of Activeloop, "Fine-Tune LLama-3 and Build Accurate Knowledge Retrieval for Healthcare," he discusses the limitations of RUG (enterprise search) in AI applications and the need for improved retrieval methods.

He explains how LLama-3, a vector database, can be used in conjunction with large language models (LLMs) to enhance retrieval accuracy. Davit also introduces the concept of deep memory, a neural network layer that fine-tunes the embedding space for more relevant search results. He then introduces the raft method, which involves fine-tuning the LLM itself to improve context navigation and answer relevance. He demonstrates how these techniques can boost accuracy in answering healthcare-related questions. Davit also shares use cases in the legal and transcription fields and emphasizes the importance of human involvement in these AI systems. Overall, this talk provides insights into the challenges and advancements in knowledge retrieval for AI applications in healthcare and other domains. #AIUserGroup #AIForHealthcare #KnowledgeRetrieval