Evaluating Efficacy, Assessing Trust & Editorial Alignment in LLMs

Join host Deep Dhillon and Bill Constantine as they explore the intricate process of assessing efficacy, assessing trust, and achieving editorial alignment in large language models. In a world where LLMs are increasingly powerful and usually reasonable, traditional efficacy techniques are insufficient and a new focus that leverages semantic comparisons and even the LLMs themselves for attribute driven editorial alignment is a new way forward. The AI experts delve into a number of topics including the importance of editorial considerations, communication style and the challenges of efficacy assessment in increasingly personalized models.  

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