Are LLMs Overhyped or Underappreciated? with Marti Hearst - #626

Are LLMs Overhyped or Underappreciated? with Marti Hearst - #626

Today we’re joined by Marti Hearst, Professor at UC Berkeley. In our conversation with Marti, we explore the intricacies of AI language models and their usefulness in improving efficiency but also their potential for spreading misinformation. Marti expresses skepticism about whether these models truly have cognition compared to the nuance of the human brain. We discuss the intersection of language and visualization and the need for specialized research to ensure safety and appropriateness for specific uses. We also delve into the latest tools and algorithms such as Copilot and Chat GPT, which enhance programming and help in identifying comparisons, respectively. Finally, we discuss Marti’s long research history in search and her breakthrough in developing a standard interaction that allows for finding items on websites and library catalogs. The complete show notes for this episode can be found at https://twimlai.com/go/626.

Jaksot(780)

AI Trends 2024: Machine Learning & Deep Learning with Thomas Dietterich - #666

AI Trends 2024: Machine Learning & Deep Learning with Thomas Dietterich - #666

Today we continue our AI Trends 2024 series with a conversation with Thomas Dietterich, distinguished professor emeritus at Oregon State University. As you might expect, Large Language Models figured ...

8 Tammi 20241h 5min

AI Trends 2024: Computer Vision with Naila Murray - #665

AI Trends 2024: Computer Vision with Naila Murray - #665

Today we kick off our AI Trends 2024 series with a conversation with Naila Murray, director of AI research at Meta. In our conversation with Naila, we dig into the latest trends and developments in th...

2 Tammi 202452min

Are Vector DBs the Future Data Platform for AI? with Ed Anuff - #664

Are Vector DBs the Future Data Platform for AI? with Ed Anuff - #664

Today we’re joined by Ed Anuff, chief product officer at DataStax. In our conversation, we discuss Ed’s insights on RAG, vector databases, embedding models, and more. We dig into the underpinnings of ...

28 Joulu 202348min

Quantizing Transformers by Helping Attention Heads Do Nothing with Markus Nagel - #663

Quantizing Transformers by Helping Attention Heads Do Nothing with Markus Nagel - #663

Today we’re joined by Markus Nagel, research scientist at Qualcomm AI Research, who helps us kick off our coverage of NeurIPS 2023. In our conversation with Markus, we cover his accepted papers at the...

26 Joulu 202346min

Responsible AI in the Generative Era with Michael Kearns - #662

Responsible AI in the Generative Era with Michael Kearns - #662

Today we’re joined by Michael Kearns, professor in the Department of Computer and Information Science at the University of Pennsylvania and an Amazon scholar. In our conversation with Michael, we disc...

22 Joulu 202336min

Edutainment for AI and AWS PartyRock with Mike Miller - #661

Edutainment for AI and AWS PartyRock with Mike Miller - #661

Today we’re joined by Mike Miller, director of product at AWS responsible for the company’s “edutainment” products. In our conversation with Mike, we explore AWS PartyRock, a no-code generative AI app...

18 Joulu 202329min

Data, Systems and ML for Visual Understanding with Cody Coleman - #660

Data, Systems and ML for Visual Understanding with Cody Coleman - #660

Today we’re joined by Cody Coleman, co-founder and CEO of Coactive AI. In our conversation with Cody, we discuss how Coactive has leveraged modern data, systems, and machine learning techniques to del...

14 Joulu 202338min

Patterns and Middleware for LLM Applications with Kyle Roche - #659

Patterns and Middleware for LLM Applications with Kyle Roche - #659

Today we’re joined by Kyle Roche, founder and CEO of Griptape to discuss patterns and middleware for LLM applications. We dive into the emerging patterns for developing LLM applications, such as off p...

11 Joulu 202335min

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