The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Are LLMs Overhyped or Underappreciated? with Marti Hearst - #626
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Apr 24, 2023 In this engaging discussion, Marti Hearst, a UC Berkeley Professor and expert in natural language processing, shares her insights on AI language models. She raises questions about their supposed cognition and their potential for misinformation. The conversation dives into the evolution of search technology and tools like ChatGPT, emphasizing the need for human oversight. Marti also highlights her groundbreaking work in search user interfaces and the intersection of language and visualization, revealing how text influences information retention.
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Past AI Hype Cycles
- Marti Hearst recalls previous AI hype cycles, like Oracle's NLP acquisition and IBM Watson.
- She expresses caution about overhyping current LLMs.
Search User Interface Origins
- Marti Hearst discusses her background in search user interfaces.
- She aimed to improve upon traditional library catalogs and keyword-based search.
Desire for Direct Answers
- People always desired direct answers from search, but the technology was limited.
- Ask Jeeves exemplifies this, showcasing user preference for question-answering systems.