Ankur Gupta @getpy
Tweets on Python, Technology, Software Development, Programming. dspyweekly.com Joined January 2012-
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We ran Claude code in a while loop and it ported @browser_use to Typescript
pushed an interesting feature for AskPrisma(.ai) - it now support industry based prisms to customize the insights and analysis for your industry; now you have access to data-driven insights using Python+Jupyter and industry-aware narratives
@HamelHusain it wasn’t until i actually tried running evals that i realized how true this all is
🚀 Just set up OptILLM's proxy plugin to load balance across multiple LLM providers -2 local Gemma servers (put my old jetsons to use) + Google AI. Perfect for when you need reliable inference without hitting rate limits! The weighted routing ensures local models get priority 🎯
AI is everywhere. Visualisation and Imaging : Atul Bandekar Using AI. The fine print. I particularly loved the overall consistency and would like to believe most cannot spot the difference if it was a commissioned illustrator’s work or not?. The Economic Times.
@raw_works @andressrg @DSPyOSS I just want to emphasize that this was not a simple PR either. @andressrg very patiently worked through 4+ PRs. Adding just a multimodal proposer would have been the easy thing to do. Instead, his PR now allows anyone to bring any kind of instruction proposal mechanism to GEPA:…
Nicely done @kirodotdev … and also your redirect post login is broken at the moment in the latest release, the localhost redirect isn’t working.
OK folks, today is the day when I reveal what this tweet was about. We made MCP work better by: 1. Convert the MCP tools into a TypeScript API 2. Tell the agent to write code against this API We call it "code mode" It uses a new feature in Workers: Dynamic Worker Loading
OK folks, today is the day when I reveal what this tweet was about. We made MCP work better by: 1. Convert the MCP tools into a TypeScript API 2. Tell the agent to write code against this API We call it "code mode" It uses a new feature in Workers: Dynamic Worker Loading
.@RichardSSutton, father of reinforcement learning, doesn’t think LLMs are bitter-lesson-pilled. My steel man of Richard’s position: we need some new architecture to enable continual (on-the-job) learning. And if we have continual learning, we don't need a special training…

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