Pushpak Kedia (@pushpakkedia) started following @MichaelKeshani on Sep 30, 2024

RT @george__woodall: Just checked the fixture list and it looks like united are really going to struggle, they’ve got a match every week un…

RT @BlueMoonPodcast: 🎙️ NEW #MCFC PODCAST 🧐 Brentford & Inter displays 👕 Change colours at home 🔴 #ManCity vs. #AFC preview 😴 The packed s…

RT @mattdeitke: Introducing Molmo: a family of open state-of-the-art multimodal language models that push the frontier of vision by pointin…

RT @anikembhavi: Delighted to share Molmo! With an extreme focus on data quality over quantity, Molmo is fast to train, competitive with e…

RT @tszzl: there comes a time in every man’s life where they realize they weren’t an investing genius and actually underperformed the S&P

RT @tferriss: For all of the most important things, the timing always sucks. Waiting for a good time to quit your job? The stars will never…

RT @lukaszkaiser: Congratulations!! :)

RT @BorisMPower: Amazing work - I hope chip design becomes much more accessible

RT @GoogleDeepMind: Our AI for chip design method AlphaChip has transformed the way we design microchips. ⚡ From helping to design state-o…

RT @joshtwoodward: Audio + Handwriting understanding in NotebookLM, and then turn it into a podcast! Content is now infinitely remixable wi…

Working on the problem of using AI to design silicon chips was my entry-point to AI and I spent some part of my PhD on. It's very exciting to see that similar ideas from back then are starting to work at scale in real-world scenarios, enabling designing of next generation of

RT @ChiShengLiu: I’m happy to share that I’m starting a new position as Software Engineer at @anyscalecompute ! Thanks for @hsun_kai 's hel…

Thank you, Demis! Very excited to close this loop! 🔁🚀

RT @Azaliamirh: We are sharing some exciting updates about our work on AI for layout optimization, more than five years after its inception…

🚂 2 new production models: 1.5-Pro-002 and 1.5-Flash-002 with improved math, vision understanding and long context performance 🧪 Improved version of experimental 1.5-Flash-8B 🛟 Updated settings on safety filters ↗️ 2x higher rate limits on 1.5 Flash and ~3x higher on 1.5 Pro

This weekend I read the Michelangelo paper from @GoogleDeepMind (https://t.co/vOhAX4G3ZJ) which benchmarks models' ability to find relevant information needed for complex tasks spread across large context, much like Michelangelo chiseling away irrelevant material to reveal the https://t.co/n7Ls6kjWBe

RT @rao2z: A research note describing our evaluation of the planning capabilities of o1 🍓 is now on @arxiv https://t.co/B1yFtxsHR4 (thanks…

RT @rao2z: So @karthikv792 and @kayastechly stayed up until wee hours and submitted this 18-page note to arXiv; will summarize once it is m…

RT @tuicasso: This team is pretty great! Can’t wait to see what they will continue to build

RT @danijarh: Storing knowledge about the user is super important for AI to become more useful. But that'll make it hard to switch models.…

RT @rohanpaul_ai: Visual tree of thoughts for WebUI A custom Function for Open WebUI that implements a Monte Carlo Tree Search based Tree…

RT @rohanpaul_ai: New Vikhr-Nemo-12B-Instruct-R-21-09-24 dropped in @huggingface along with 2 cool datasets Summary of Vikhr-Nemo-12B-Inst…

Excited to double down with Ritwik and Karan as they scale India (and soon Asia’s) most beloved alternative accommodations brand!