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

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Manage episode 364716365 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi 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://ppacc.player.fm/legal.

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)
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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

  continue reading

171 episodes

Artwork
iconShare
 
Manage episode 364716365 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi 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://ppacc.player.fm/legal.

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

  continue reading

171 episodes

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