RAG continues to rise (Practical AI #264)
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Navigating AI Models and Challenges in Evaluation
The chapter explores the utilization of AI models, comparing RAG models to fine-tuning in specialized fields and discussing the implementation difficulties and benefits of using pre-trained models like GPT. It also delves into the challenges of evaluating AI models, including data selection, evaluation processes, and the lack of standardized practices within the industry. Additionally, the conversation touches on community fragmentation within the AI field and the complexities of managing databases and role-based access control.
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