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Speaker unverified: belief

27 Sept 2024 Latent Space Language Agents: From Reasoning to Acting

“I think the practical reason it has become less used is because the agent kind of scaffold become more complex or the task you're trying to solve is becoming more complex.”

— Speaker unverified

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Speaker
Speaker unverified
Attribution
Not verified from this transcript
Claim type
belief
Recorded
27 Sept 2024
Publisher
Latent Space

Transcript context

…and how you think like- I feel like it's becoming less used than zero-shot prompting. What's your observation? I'm pretty bullish on it, to be honest. For a few reasons, like one, I think it can maybe help for more complex things. But then also two, like, it's a form of prompting and prompting is just communicating with the model what you want it to do. And sometimes it's easier to just show the model what you want it to do than write out detailed kind of like instructions. I think the practical reason it has become less used is because the agent kind of scaffold become more complex or the task you're trying to solve is becoming more complex. It's harder to annotate a few-shot examples, right? Like in the Chain of Thought era, she just write down three lines of things. It's very easy to write down a few-shot or whatever. But I feel like annotation difficulty has become harder. I think also one of the reasons that I'm bullish on it is because I think it's a really good way to achieve kind of like personalization. Like if you can collect this through feedback automatically, you can then use that in the system at a user level or something like that. Again, the issue with that is more complex things that doesn't really work. It's probably more useful as like an automatic prompt, right? If you have some way to retrieve examples and put it in like automatic pipeline to prompt. But I feel like if you're manually writing now, I feel like more people will try to use zero-shot. Yeah, but if you're doing a consumer product,…

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