Challenges in Model Responses and Stochasticity in AI

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.