Fine-Tuning Large Language Models: Empowering AI for Specialized Applications | SNIA

Abstract

Training large language models (LLMs) is a complex task which requires substantial computational resources and infrastructure. Fine-tuning LLMs for domain-specific data has emerged as a crucial technique to enhance their performance in specialized tasks and industries. In this talk we give an overview of the basic concepts of LLMs , their pre-training process, highlighting the transfer learning paradigm that forms the basis of fine-tuning.