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Michael Royzen: belief

3 Nov 2023 Latent Space Beating GPT-4 with Open Source LLMs — with Michael Royzen of Phind

“I've been talking to Harrison actually about like a more structured way perhaps within Linkchain to like do evals. Because I think that's a massive problem.”

— Michael Royzen

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Speaker
Michael Royzen
Attribution
Verified speaker
Claim type
belief
Recorded
3 Nov 2023
Publisher
Latent Space

Transcript context

…What's the source of error? Exactly. I've been talking to Harrison actually about like a more structured way perhaps within Linkchain to like do evals. Because I think that's a massive problem. Like every single eval is different for these big, large language models and doing them in a quantitative way is really hard. But it's possible with like a platform that I think harnesses GPT-4 in the right way. That and also perhaps a stricter prompting language like a prompting markup language for prompting models is something I'm also very interested in. Because we've written some very, very complex prompts particularly for a VS Code extension to like very fancy things with people's code. And like I wish there was a way that you could have like a more formal way like a Python for LLM prompting that you could activate desired things within like the model's execution flow through some other abstraction above language that has been like tested to do that some of the time. Perhaps like combined with like formal grammar limitations and stuff like that. Interesting. I have no idea what that looks like. These are all things these are all things that have kind of emerged directly from the issues we're facing ourselves internally. But yeah, definitely very abstract so far. And yeah, just to wrap what's one message idea you want people to remember and think about?…

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