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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