Evidence receipt / recommendation
Published · transcript-backedJason Liu: recommendation
19 Apr 2024 Latent Space High Agency Pydantic > VC Backed Frameworks — with Jason Liu of Instructor
“I think right now, the first steps are just how do we take this DAG idea and break it down to modular components that we can like prompt better, have few shot examples for and ultimately like fine tune against.”
Source trail
Everything needed to verify it.
- Speaker
- Jason Liu
- Attribution
- Verified speaker
- Claim type
- recommendation
- Recorded
- 19 Apr 2024
- Publisher
- Latent Space
Transcript context
…What do you think of the interface to that? Do you see it's like an existing state machine kind of thing that connects to the LLMs, the traditional DAG players? Do you think we need something new for like AI DAGs? Yeah. I mean, I think that the hard part is going to be describing visually the fact that this DAG can also change over time and it should still be allowed to be fuzzy. I think in like mathematics, we have like plate diagrams and like Markov chain diagrams and like recurrent states and all that. Some of that might come into this workflow world. But to be honest, I'm not too sure. I think right now, the first steps are just how do we take this DAG idea and break it down to modular components that we can like prompt better, have few shot examples for and ultimately like fine tune against. But in terms of even the UI, it's hard to say what it will likely win. I think, you know, people like Prefect and Zapier have a pretty good shot at doing a good job. Yeah. You seem to use Prefect a lot. I actually worked at a Prefect competitor at Temporal and I'm also very familiar with Dagster. What else would you call out as like particularly interesting in the AI engineering stack?…
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