The Limitations and Opportunities of Large Language Models
Update: 2024-08-23
Description
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.
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 more about us: https://www.verisian.com/
- Join the Verisian Community: https://www.verisian.com/community
- Follow us on LinkedIn: https://www.linkedin.com/company/verisian/
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