codewithP
@CodewithP
🙋♂️ SWE @ServiceNow 👨💻 Talks to software & cats 🐈 QE's are not my best friends 👀
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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👨💻
Introducing Claude Opus 4.5: the best model in the world for coding, agents, and computer use. Opus 4.5 is a step forward in what AI systems can do, and a preview of larger changes to how work gets done.
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.
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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