This chapter explores the hurdles faced by AI models, such as handling diverse queries and managing stochasticity, while stressing the relevance of RLHF and data sensitivity. It underlines the necessity of accurate evaluation metrics to prevent the deployment of inferior models and introduces a new product for model assessment.
Clara sits down with the founder/CEOs of three of the hottest AI companies-- Aravind Srinivas (Perplexity AI), Jerry Liu (LlamaIndex), and Harrison Chase (LangChain) to discuss the tooling, data prep, and agility needed to operate and add customer value in the rapidly evolving LLM space.