
Contextual AI with Amanpreet Singh - Weaviate Podcast #114!
Weaviate Podcast
Validating Language Models in AI Systems
This chapter examines the intricacies of validating large language models (LLMs) in AI, focusing on accuracy and cost-effectiveness in production environments. It discusses feedback mechanisms, learning strategies, and the evolution from supervised to reinforcement learning, emphasizing the importance of alignment with human expectations. The narrative highlights the relationship between reinforcement learning and model verification, addressing challenges in handling high cardinality action spaces and the efficiency of training approaches.
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