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LLMs Are Useful Liars with Andriy Burkov
Manage episode 488089576 series 3546664
Content provided by SAS Podcast Admins, Kimberly Nevala, and Strategic Advisor - SAS. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SAS Podcast Admins, Kimberly Nevala, and Strategic Advisor - SAS or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Andriy Burkov talks down dishonest hype and sets realistic expectations for when LLMs, if properly and critically applied, are useful. Although maybe not as AI agents.
Andriy and Kimberly discuss how he uses LLMs as an author; LLMs as unapologetic liars; how opaque training data impacts usability; not knowing if LLMs will save time or waste it; error-prone domains; when language fluency is useless; how expertise maximizes benefit; when some idea is better than no idea; limits of RAG; how LLMs go off the rails; why prompt engineering is not enough; using LLMs for rapid prototyping; and whether language models make good AI agents (in the strictest sense of the word).
Andriy Burkov holds a PhD in Artificial Intelligence and is the author of The Hundred Page Machine Learning and Language Models books. His Artificial Intelligence Newsletter reaches 870,000+ subscribers. Andriy was previously the Machine Learning Lead at Talent Neuron and the Director of Data Science (ML) at Gartner. He has never been a Ukrainian footballer.
Related Resources
- The Hundred Page Language Models Book: https://thelmbook.com/
- The Hundred Page Machine Learning Book: https://themlbook.com/
- True Positive Weekly (newsletter): https://aiweekly.substack.com/
A transcript of this episode is here.
75 episodes
Share
Manage episode 488089576 series 3546664
Content provided by SAS Podcast Admins, Kimberly Nevala, and Strategic Advisor - SAS. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SAS Podcast Admins, Kimberly Nevala, and Strategic Advisor - SAS or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Andriy Burkov talks down dishonest hype and sets realistic expectations for when LLMs, if properly and critically applied, are useful. Although maybe not as AI agents.
Andriy and Kimberly discuss how he uses LLMs as an author; LLMs as unapologetic liars; how opaque training data impacts usability; not knowing if LLMs will save time or waste it; error-prone domains; when language fluency is useless; how expertise maximizes benefit; when some idea is better than no idea; limits of RAG; how LLMs go off the rails; why prompt engineering is not enough; using LLMs for rapid prototyping; and whether language models make good AI agents (in the strictest sense of the word).
Andriy Burkov holds a PhD in Artificial Intelligence and is the author of The Hundred Page Machine Learning and Language Models books. His Artificial Intelligence Newsletter reaches 870,000+ subscribers. Andriy was previously the Machine Learning Lead at Talent Neuron and the Director of Data Science (ML) at Gartner. He has never been a Ukrainian footballer.
Related Resources
- The Hundred Page Language Models Book: https://thelmbook.com/
- The Hundred Page Machine Learning Book: https://themlbook.com/
- True Positive Weekly (newsletter): https://aiweekly.substack.com/
A transcript of this episode is here.
75 episodes
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Similar to Pondering AI
Redefining AI is the 2024 New York Digital Award winning tech podcast! Discover a whole new take on Artificial Intelligence in joining host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and ...
…
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continue reading
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…
continue reading
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…
continue reading
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…
continue reading
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