Tim @whitellm
Joined September 2025-
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Tim retweeted
Just came across an absolutely amazing paper that introduces the GEPA method of auto improvement of agent prompts. Fun fact: we are using something similar to improve our agents inside peakflo ai workflows, no code qpproach arxiv.org/abs/2507.19457
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Tim retweeted
Forget MCP, what I want is an industry consortium backed standard for a JSON API protocol for talking to LLM providers Everyone building half-baked copies of the OpenAI Chat Completion API worked until it didn't any more!
Forget MCP, what I want is an industry consortium backed standard for a JSON API protocol for talking to LLM providers Everyone building half-baked copies of the OpenAI Chat Completion API worked until it didn't any more!
Tim retweeted
The best visual guide to LLMs you’ll ever see
Tim retweeted
Spent the weekend at Devhacks S2 @ASU trying to make online shopping as addictive as TikTok. My solution: Slapp-AI ⚡ An app where every swipe builds a personal style knowledge graph using @supermemoryai , thanks @DhravyaShah for the push. Check it out: lnkd.in/gPdph9Nc
Tim retweeted
@harshad_geek @AsfiShaheen In this context, GEPA works as a prompt optimizer, so the end result is a prompt (or multiple prompts for a multi-agent system, one for each component). However, one aspect that does not get highlighted enough is that GEPA is a text evolution engine: Given a target metric, GEPA…
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