tool / uses
Pytantic
“I think at some point, you know, tools like Guardrails and Marvin came out. Those are kind of tools that I use XML and Pytantic to get structured data out.”
Public evidence record
Jason Liu
Published podcast speaker
- Claims
- 17
- Episodes
- 1
- Shows
- 1
- Named items
- 1
Books, apps, and tools
The evidenced stack.
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What Jason said.
4 transcript-backed records
01 / evaluation
Just because you can sort of specify relationships between these entities that you can't do in a parallel function calling, you can have a single chain of thought before you generate a list of results.
“Just because you can sort of specify relationships between these entities that you can't do in a parallel function calling, you can have a single chain of thought before you generate a list of results.”
- Speaker
- Jason Liu
- Publisher
- Latent Space
02 / evaluation
In which case, like we either can assume that, or we can assume that like things need to happen in some kind of sequence as a DAG, right? But if it's a DAG, really that's just like one JSON object that is the entire DAG rather than going like, okay, the order of the function that return don't matter.
“In which case, like we either can assume that, or we can assume that like things need to happen in some kind of sequence as a DAG, right? But if it's a DAG, really that's just like one JSON object that is the entire DAG rather than going like, okay, the order of the function that return don't matter.”
- Speaker
- Jason Liu
- Publisher
- Latent Space
03 / evaluation
This is the part that feels crazy because really the difference is LLMs give you strings and Instructor gives you data structures.
“This is the part that feels crazy because really the difference is LLMs give you strings and Instructor gives you data structures.”
- Speaker
- Jason Liu
- Publisher
- Latent Space
04 / evaluation
No, so I think because at Stitch Fix, a lot of the machine learning engineers and data scientists were writing production code, sort of every team's systems were very bespoke.
“No, so I think because at Stitch Fix, a lot of the machine learning engineers and data scientists were writing production code, sort of every team's systems were very bespoke.”
- Speaker
- Jason Liu
- Publisher
- Latent Space