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LLM Agents, Few-Shot Learning | Matt Welsh, cofounder and CEO of Fixie

Podcast |: Infinite Machine Learning
Publisher |: Prateek Joshi
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Interview,; Machine Learning,; Technology
Categories Via RSS |: Technology
Publication Date |: May 30, 2023
Episode Duration |: 00:37:38

Matt Welsh is the cofounder and CEO of Fixie, an automation platform for LLMs. It allows developers to build natural language agents that connect to your data, talk to APIs, and solve complex problems. They've raised $17M from investors such as Redpoint, Madrona, Zetta, SignalFire, Bloomberg Beta, and more. He has previously held roles at OctoML, Apple, Xnor, and Google. He was a Professor of Computer Science at Harvard and has a PhD in Computer Science from UC Berkeley. In this episode, we cover a range of topics including: - LLMs as the new computational engine - What can LLMs do well and where are the gaps - Fine-tuning vs In-context learning - Smart Agents - Few shot learning - Use cases of Fixie Matt's favorite book: The Amazing Adventures of Kavalier & Clay (Author: Michael Chabon)--------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi

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