yashwanth @yashwanth__e
tech & cats, undergrad researcher, deepl for life, a lil too employed, gpu poor @ hostel room yashwanth-dl.netlify.app Convergence Joined June 2024-
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yashwanth retweeted
The 3rd world model in the past 3 days?
The 3rd world model in the past 3 days?
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yashwanth retweeted
If I were smarter, I would have pursued physics
yashwanth retweeted
Inspired by today's Genie 3 release? We are open-sourcing 🧞♀️Jasmine🧞♀️, a production-ready JAX-based codebase for world modeling from unlabeled videos. Scale from single hosts to hundreds of xPUs thanks to XLA! 🧵 (1/10)
yashwanth retweeted
Good Knight 🏰⚔️🛡️
Good Knight 🏰⚔️🛡️ https://t.co/KMQsfE7nau
Diffusion is the way of life and we must converge to it
Diffusion is the way of life and we must converge to it
I was being sarcastic 😭😭 ofc ik LoRA see my auto correct puts it in the correct way also 😭 LoRA not lora
I was being sarcastic 😭😭 ofc ik LoRA see my auto correct puts it in the correct way also 😭 LoRA not lora
What is lora⁉️‼️
Read all papers shared by wenhao!! They are real gold and join his discord for more gold 🗣️ 🗣️
Read all papers shared by wenhao!! They are real gold and join his discord for more gold 🗣️ 🗣️
yashwanth retweeted
ByteDance is exploring diffusion LLMs too! 👀 Seed Diffusion Preview: a blazing-fast LLM for code, built on discrete-state diffusion. With 2,146 tokens/sec inference on H20 GPUs, it outpaces Mercury & Gemini Diffusion, while matching their performance on standard code…
yashwanth retweeted
you don't need more hours. you lack discipline, get distracted easily and don't know how to mange your time (self criticism)
Muon ftw (checkout my blog to understand how it works in detail! 😁)
Muon ftw (checkout my blog to understand how it works in detail! 😁)
yashwanth retweeted
Good paper btw
Guys, I'm actively looking for professors/labs to work under. My speciality is diffusion modeling and llms. If you know someone who is looking for interns, please do let me know. Appreciate any kind of leads 🙏 Thank you!!
yashwanth retweeted
Diffusion Beats Autoregressive in Data-Constrained Settings Comparison of diffusion and autoregressive language models from 7M to 2.5B params and up to 80B training tokens. Key findings: 1. Diffusion models surpass autoregressive models given sufficient compute. Across a wide…
yashwanth retweeted
Kimi K2 tech report is full of gems as always. Here are my notes on it: > MuonClip: Pretty crazy how after 70k the training stabilizes and the QK-clip is basically inactive. There is also no loss in perf with QK-clip which is not trivial at all (at small scale but with…
yashwanth retweeted
on june 15, my prev role ended - i’ve taken some time since then to reflect. now that i’m back, i am actively looking for my next FT role in AI/LLM. if you're building in AI and hiring someone who can work on challenging problems, i'd love to chat. DMs open RTs appreciated 💛
yashwanth retweeted
AdaMuon: Adaptive Muon Optimizer Builds on Muon, a geometry-preserving optimizer using polar decomposition (Newton–Schulz) for orthogonal 2D updates, and adds per-parameter second-moment scaling and RMS-aligned rescaling to fix Muon’s sensitivity to noisy gradients. AdaMuon…
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