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Building cool shit with AI and posting about it ✍️ Currently: 🤖 Going all out on Model Context Protocol 🤓 Diving into Deep Learning & research & sharing fundamental insights 🚢 Creator of MCP Maker & Adam Ascension (game) 📑 Published research paper on Recommendation Systems…
what's stopping you from coding like this?
it'll be ideal if @GeminiApp were to show progress of a task to know how long we need to wait, like @ChatGPTapp does. It's been 8 minutes already!!!
LLM as a judge has become a dominant way to evaluate how good a model is at solving a task, since it works without a test set and handles cases where answers are not unique. But despite how widely this is used, almost all reported results are highly biased. Excited to share our…
AI/ML Engineers don’t skip this! This Stanford University course is a true gold mine covering everything you need to build and fine-tune LLMs from the ground up
Attention: Google has dropped a new version of Attention Is All You Need!
Releasing a new "Agentic Reviewer" for research papers. I started coding this as a weekend project, and @jyx_su made it much better. I was inspired by a student who had a paper rejected 6 times over 3 years. Their feedback loop -- waiting ~6 months for feedback each time -- was…
It’s here :) Go crazy kids👨💻
The source code of Windows troubleshooting program has leaked
Ngl, Its been good Some things are breaking Like Ice (from Jordan Baird) & the battery toolkit app. But nothing like a deal breaker. Aesthetics are cool.
No Never Even if there is We’re with @getpostman
I created this Cricket game using Gemini 3 and it's too good. Vibe coding is gonna be fun now.
Did you know 👀 ServiceNow is one of Fortune’s World’s Best Workplaces for the third year in a row! Grateful to be part of a group of incredible people who make our culture so special. See what makes our workplace one of the world’s best: spr.ly/60167giUa
Done with the “Structuring ML Projects” @coursera 🤖📚 (just revising already studied concepts 🙃) Key learnings: • error analysis isn’t optional, it’s the map • bias vs variance → stop guessing • data distribution problems are the real villains • transfer learning = cheat…
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