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.  Check out some of our related content:Measuring Accuracy and Trustworthiness in Large Language Models for Summarization Text GenerationPlagiarism 2.0: ChatGPT, AI and Generative Content Concerns

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