RS @nvidia | prev MTS @essential_ai | CS PhD @ucberkeley | HPC ∩ ML | he/him

San Francisco, CA
Joined September 2015
Alok Tripathy retweeted
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-W…
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Alok Tripathy retweeted
Rnj-1 has outperformed other open models in its weight class in the largest open-source AI initiative in telecom to-date🚀
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Alok Tripathy retweeted
.@essential_ai's rnj-1 model is now on Ollama! ollama run rnj-1 8B parameter, open-weight dense model trained from scratch. The model is optimized for code and STEM with capabilities on par with other state of the art open-weight models. Let's go! 🚀🚀🚀
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Introducing Rnj-1 Instruct from @essential_ai, an open-source 8B model engineered for agentic coding and STEM tasks. AI natives can now use Rnj-1 Instruct on Together AI and benefit from reliable inference for production-scale software engineering and scientific workflows.
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Super excited to put this out in the world! We’re pushing the capabilities of open-source models at Essential and this is just the start. Please say hi to Rnj-1 and keep an eye out — there’s gonna be even more exciting developments in the near future
We are beyond thrilled to share our first flagship models, Rnj-1 base and instruct 8B parameter models. Rnj-1 is the culmination of 10 months of hard work by a phenomenal team, dedicated to advancing American SOTA OSS AI. Lots of wins with Rnj-1. 1. SWE bench performance close to GPT 4o. 2. Tool use outperforming all comparable open source models. 3. Mathematical reasoning (AIME’25) nearly at par with GPT OSS MoE 20B. ….
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Alok Tripathy retweeted
Today, we’re excited to introduce Rnj-1, @essential_ai's first open model; a world-class 8B base + instruct pair, built with scientific rigor, intentional design, and a belief that the advancement and equitable distribution of AI depend on building in the open. We bring American open-source at par with the best in the world.
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Alok Tripathy retweeted
[1/5] 🚀 Meet Essential-Web v1.0, a 24-trillion-token pre-training dataset with rich metadata built to effortlessly curate high-performing datasets across domains and use cases!
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Alok Tripathy retweeted
Learn more about the latest advances in AI and systems, including LLM serving, efficient attentions, structured outputs, scaling up training, and more topics. Check out #MLSys2025. Accepted papers at mlsys.org/virtual/2025/paper… and register today at mlsys.org/Register
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EAAA is a student-led program designed to help more grad applicants get access to application assistance. A current or recent grad student in Berkeley EECS will provide feedback on application statements, resumes, and other application materials prior to the application deadline.
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And if you are a Berkeley EECS PhD student who wants to help review applications, please sign up here! forms.gle/hKV4PxSH1KBgCfGd6
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Alok Tripathy retweeted
Woohoo! @Cornell_CS PhD application deadline is December 15, 2024. I'm looking for students interested in high-performance parallel computing and systems for scientific discovery, to guide the design of the next generation of parallel computing systems and architectures! RT
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I'm at MLSys! Come check out my talk on "Distributed Matrix-Based Sampling forGraph Neural Network Training". Excited to chat about GNNs, HPC, and machine learning systems! #MLSys2024
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Check out my friend @conor_power23 and @lisabdunlap 's podcast! My ep just got uploaded, but they go into a lot of fun conversations with CS students inside and out of Berkeley. Can confirm that I was a fan before going on 😂
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And if you are a Berkeley EECS PhD student who wants to help review applications, please sign up here! forms.gle/FtkN4mZL1Eit9p1C8
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Please see sites.google.com/berkeley.ed… for more information and send any questions to <[email protected]>!
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EAAA is a student-led program designed to help more grad applicants get access to application assistance. A current or recent grad student in Berkeley EECS will provide feedback on application statements, resumes, and other application materials prior to the application deadline.
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Hi all prospective grad students! Our Equal Access to Application Assistance (EAAA) program for @Berkeley_EECS is now accepting applications! Any PhD applicant to @Berkeley_EECS can submit their application for feedback by Oct 8 2023: forms.gle/dHq2EPGrkkdcSucw6
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Hey all I just had a lot of things happen. Long story short I need some help. I am trying to land on my feet so if you can send anything I would greatly appreciate it. I’m just out of options. $DylynnJaime paypal.me/dylynnn
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