Soumith Chintala @soumithchintala
Cofounded and lead @PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source. soumith.ch New York City Joined September 2009-
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The live updating image generator on meta.ai/?icebreaker=im… is a pretty sick UX.
very early LMSys Arena results peg llama3-70B at 5th place (the variance is still pretty high, so it can jump up or down a bit). This is so exciting. Can't wait to see how the 405B fares once it is released. chat.lmsys.org/?leaderboard
There's another quieter release from @AIatMeta today that's really cool. * Live Preview: As you type your image prompt, you get a live preview, making iterating for a good image easier. * Animate: now you can animate images for short bursts
Llama3 8B and 70B are out, with pretty exciting results! * The ~400B is still training but results already look promising. * Meta's own Chat interface is also live at meta.ai * TorchTune integration is shortly going live: github.com/pytorch/torcht…
Llama3 8B and 70B are out, with pretty exciting results! * The ~400B is still training but results already look promising. * Meta's own Chat interface is also live at meta.ai * TorchTune integration is shortly going live: github.com/pytorch/torcht…
Oh my god. 😂 GPT-4 uses the word “delve” so much because many of the RLHF’s (reinforcement learning human feedback) workers for GPT-4 were Nigerians who use the word “delve” a lot more relative to other countries. So GPT-4 writes like an educated anglophone African.
Oh my god. 😂 GPT-4 uses the word “delve” so much because many of the RLHF’s (reinforcement learning human feedback) workers for GPT-4 were Nigerians who use the word “delve” a lot more relative to other countries. So GPT-4 writes like an educated anglophone African. https://t.co/J1uNJkkLvm
Really excited to officially release torchtune: a PyTorch-native library for easily fine-tuning LLMs! Code: github.com/pytorch/torcht… Blog: pytorch.org/blog/torchtune… Tutorials: pytorch.org/torchtune/stab… [1/5]
Announcing the alpha release of torchtune! torchtune is a PyTorch-native library for fine-tuning LLMs. It combines hackable memory-efficient fine-tuning recipes with integrations into your favorite tools. Get started fine-tuning today! Details: hubs.la/Q02t214F0
LLM Fatigue is a variation of Decision fatigue for AI; every day there's a new release, so you stick to the familiar 3 names despite merits
Meta announces 2nd-gen inference chip MTIAv2. * 708TF/s Int8 / 353TF/s BF16 * 256MB SRAM, 128GB memory * 90W TDP. 24 chips per node, 3 nodes per rack. * standard PyTorch stack (Dynamo, Inductor, Triton) for flexibility Fabbed on TSMC's 5nm process, its fully programmable via the…
thanks to @JeffDean and @SingularMattrix for their great leadership today; and @fchollet @dwarak and many others at @GoogleDeepMind for quickly charting a good and aligned path forward together. We can go back focusing on the unlimited amounts of good work ahead of us. (Jeff,…
Schedule-Free Learning github.com/facebookresear… We have now open sourced the algorithm behind my series of mysterious plots. Each plot was either Schedule-free SGD or Adam, no other tricks!
It was hard to find quality OCR data... until today! Super excited to announce the release of the 2 largest public OCR datasets ever 📜 📜 OCR is critical for document AI: here, 26M+ pages, 18b text tokens, 6TB! Thanks to @ucsf_library, @industrydocs and @PDFAssociation 🧶 ↓
you should sign up for @cHHillee's newsletter, it's great. really informative technical articles. it also has one of the best URLs: thonking.ai/about
SWE-agent is our new system for autonomously solving issues in GitHub repos. It gets similar accuracy to Devin on SWE-bench, takes 93 seconds on avg + it's open source! We designed a new agent-computer interface to make it easy for GPT-4 to edit+run code github.com/princeton-nlp/…
move to NYC. build open models. distribute bootleg books of model weights alongside bagels and ice cream trucks. @srush_nlp @kchonyc @jefrankle and I will be around.
move to NYC. build open models. distribute bootleg books of model weights alongside bagels and ice cream trucks. @srush_nlp @kchonyc @jefrankle and I will be around. https://t.co/q18ECKhamK
SOTA AI for games like poker & Hanabi rely on search methods that don’t scale to games w/ large amounts of hidden information. In our ICLR paper, we introduce simple search methods that scale to large games & get SOTA for Hanabi w/ 100x less compute. 1/N arxiv.org/abs/2304.13138
legit new open model just dropped from Mosaic/Databricks. Seems very competitive on offline benchmarks. Check it out 👇
legit new open model just dropped from Mosaic/Databricks. Seems very competitive on offline benchmarks. Check it out 👇
Meet DBRX, a new sota open llm from @databricks. It's a 132B MoE with 36B active params trained from scratch on 12T tokens. It sets a new bar on all the standard benchmarks, and - as an MoE - inference is blazingly fast. Simply put, it's the model your data has been waiting for.
I'm excited to share more of the future we're working on at @Osmo_Labs. We're going to teleport a scent. osmo.ai/blog/teleporti… (1/2)
Yann LeCun @ylecun
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🔥llm.c update: Our single file of 2,000 ~clean lines of C/CUDA code now trains GPT-2 (124M) on GPU at speeds ~matching PyTorch (fp32, no flash attention) github.com/karpathy/llm.c… On my A100 I'm seeing 78ms/iter for llm.c and 80ms/iter for PyTorch. Keeping in mind this is fp32,…
I'm seeing a lot of questions about the limit of how good you can make a small LLM. tldr; benchmarks saturate, models don't. LLMs will improve logarithmically forever with enough good data.
@soumithchintala @dwarkesh_sp new york city is the only city
The live updating image generator on meta.ai/?icebreaker=im… is a pretty sick UX.
Welp folks, we have gpt-4 at home
I got tenure! It was fitting that I got to celebrate with the lab right after the news. Working together for the last 6.5 years has been a blast.
@soumithchintala @dwarkesh_sp everyday i resist the siren song of new york 😭
Congrats!
Llama3 8B and 70B are out, with pretty exciting results! * The ~400B is still training but results already look promising. * Meta's own Chat interface is also live at meta.ai * TorchTune integration is shortly going live: github.com/pytorch/torcht…
🦙 🦙 🦙labs.perplexity.ai and brought up llama-3 - 8b and 70b instruct models. Have fun chatting! we will soon be bringing up search-grounded online versions of them after some post-training. also available on pplx-api, and you get 5$ monthly API credits if you're already…
@soumithchintala Congrats Soumith & the rest of the team, this is amazing stuff!
I'm personally super excited to share the progress on the 400B+ training. So proud of the entire team that worked tirelessly to make this model a reality. There's lots more to come including a full research paper soon!🚀🦙🦙
@soumithchintala @lvdmaaten 🤣🤣🤣 Literally just ran the 8B that @Prince_Canuma quantized. Very nice (and fast 😉) on an M2 Ultra:
Congrats to @AIatMeta on Llama 3 release!! 🎉 ai.meta.com/blog/meta-llam… Notes: Releasing 8B and 70B (both base and finetuned) models, strong-performing in their model class (but we'll see when the rankings come in @ @lmsysorg :)) 400B is still training, but already encroaching…
These numbers are insane. I can't even imagine what the larger one(s) will be. Looks like Mistral 7B might be dead as of today though, and maybe even sonnet lol My favorite is the huge gains in coding capabilities
Excited to share what I’ve been working on for the past 9 months. So incredibly proud of the entire team that worked tirelessly to make Llama 3 happen! And this is only the beginning… ai.meta.com/blog/meta-llam…
Really proud of the work that went into making this possible, hope this helps the community push the field forward. Also in case anyone missed it, there's a sneak peak of what to come next at the end of blog post ai.meta.com/blog/meta-llam…
It’s here! Meet Llama 3, our latest generation of models that is setting a new standard for state-of-the art performance and efficiency for openly available LLMs. Key highlights • 8B and 70B parameter openly available pre-trained and fine-tuned models. • Trained on more…
It’s here! Meet Llama 3, our latest generation of models that is setting a new standard for state-of-the art performance and efficiency for openly available LLMs. Key highlights • 8B and 70B parameter openly available pre-trained and fine-tuned models. • Trained on more…
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