AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Challenges and Insights in Evaluating Large Language Models
The chapter discusses the challenges and benefits of evaluating the effectiveness of Large Language Models (LLMs) including the importance of fine-tuning, simulating tasks efficiently, and controlling the capabilities of these models. The speaker shares experiences with using LLMs in a closed system and emphasizes the need for reliability, while also exploring the advantages and challenges of open source models. The discussion highlights the significance of being model agnostic, testing thoroughly before production, and shifting focus towards creating robust pipelines for better production usability.