The Limitations and Opportunities of Large Language Models

Episode Summary

In this episode of the Verisian Community Podcast, we welcome Ricardo Baeza-Yates, a renowned computer scientist, to discuss the world of Large Language Models (LLMs) and their implications. Ricardo delves into the mechanics of LLMs, their popularity, and the challenges they pose. He discusses the inherent lack of reasoning and understanding in LLMs, explores the limitations in reproducibility, and emphasizes the importance of transparency in AI development. Ricardo shares his insights on how these issues impact the reliability and application of LLMs, particularly in contexts requiring precision and trustworthiness.

About The Verisian Community Podcast

The Verisian Community Podcast brings together experts in clinical trials to exchange innovative ideas and best practices central to clinical reporting, submission and review. Aligned with Verisian's mission to accelerate the evaluation and market launch of new medical treatments, each episode features expert insights, with guests ranging from statistical programmers to medical writers, to discuss the challenges and opportunities of the latest software and technology.

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Resources

• China AI Regulation: https://digichina.stanford.edu/work/translation-measures-for-the-management-of-generative-artificial-intelligence-services-draft-for-comment-april-2023
• How will China's AI Regulation Shape the Future: https://digichina.stanford.edu/work/how-will-chinas-generative-ai-regulations-shape-the-future-a-digichina-forum/
• Learn about the Validation Engine: https://www.verisian.com/‍
• Join the Verisian Community: https://www.verisian.com/community/
• Follow us on LinkedIn: https://www.linkedin.com/company/verisian/