Thang Luong @lmthang
Senior staff scientist @GoogleDeepMind. PhD @StanfordNLP. PI #AlphaGeometry. Co-lead #Bard Multimodality, now #Gemini. Co-founder #MeenaBot (later LaMDA). thangluong.com United States Joined December 2008-
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Gemini 1.5 Pro has entered the (LMSys) Arena! Some highlights: -The only "mid" tier model at the highest level alongside "top" tier models from OpenAI and Anthropic ♊️ -The model excels at multimodal, and long context (not measured here) 🐍 -This model is also state-of-the-art…
Gemini 1.5 Pro has entered the (LMSys) Arena! Some highlights: -The only "mid" tier model at the highest level alongside "top" tier models from OpenAI and Anthropic ♊️ -The model excels at multimodal, and long context (not measured here) 🐍 -This model is also state-of-the-art…
Linguist and natural language processing pioneer Christopher Manning’s lifelong love of words continues to shape how humans and computers bridge the language gap. @chrmanning engineering.stanford.edu/magazine/layin…
🔥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,…
We have seen stunning progress on human language understanding, as measured by the Massive Multitask Language Understanding benchmark (MMLU, arxiv.org/abs/2009.03300). Google Gemini Ultra now just exceeds measured human performance. aiindex.stanford.edu/report/ #NLProc #BiasedTakes
Excited to announce our preprint! We develop a symbolic system for IMO Geometry that can rival Silver Medalists. Combined with AlphaGeometry, it outperforms IMO Gold Medalists in Geometry for the first time 🏅 arxiv.org/abs/2404.06405
Have you ever wanted to train LLMs in pure C without 245MB of PyTorch and 107MB of cPython? No? Well now you can! With llm.c: github.com/karpathy/llm.c To start, implements GPT-2 training on CPU/fp32 in only ~1,000 lines of clean code. It compiles and runs instantly, and exactly…
New Anthropic research paper: Many-shot jailbreaking. We study a long-context jailbreaking technique that is effective on most large language models, including those developed by Anthropic and many of our peers. Read our blog post and the paper here: anthropic.com/research/many-…
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/…
“The fact that [transformer neural nets] model language is probably one of the biggest discoveries in history. That you can learn language by just predicting the next word with a Markov chain—that’s just shocking to me,” Mikhail Belkin says. By @strwbilly. technologyreview.com/2024/03/04/108…
Language models today are trained to reason either 1) generally, imitating online reasoning data or 2) narrowly, self-teaching on their own solutions to specific tasks Can LMs teach themselves to reason generally?🌟Introducing Quiet-STaR, self-teaching via internal monologue!🧵
Excited to announce SIMA, a general AI agent for games & 3D virtual settings. It marks the first time an agent has demonstrated it can follow natural-language instructions to carry out a wide range of tasks across a large array of game worlds, similar to how a human would play.
Excited to announce SIMA, a general AI agent for games & 3D virtual settings. It marks the first time an agent has demonstrated it can follow natural-language instructions to carry out a wide range of tasks across a large array of game worlds, similar to how a human would play.
Beautiful work / attention to detail trying to get Gemma to finetune correctly. There are so many foot guns here to be super careful with. All of these issues don't throw any errors, they silently make your network worse. A great example of what I wrote about in my "A Recipe for…
Beautiful work / attention to detail trying to get Gemma to finetune correctly. There are so many foot guns here to be super careful with. All of these issues don't throw any errors, they silently make your network worse. A great example of what I wrote about in my "A Recipe for…
We have a long history of supporting responsible open source & science, which can drive rapid research progress, so we’re proud to release Gemma: a set of lightweight open models, best-in-class for their size, inspired by the same tech used for Gemini blog.google/technology/dev…
New (2h13m 😅) lecture: "Let's build the GPT Tokenizer" Tokenizers are a completely separate stage of the LLM pipeline: they have their own training set, training algorithm (Byte Pair Encoding), and after training implement two functions: encode() from strings to tokens, and…
Gemini 1.5 Pro can analyze, classify and summarize huge quantities of information – including documents with thousands of pages. 📄 When given a 402-page transcript from Apollo 11’s mission to the moon, it was able to reason about conversations and events it finds. ↓
Here's my take on the Sora technical report, with a good dose of speculation that could be totally off. First of all, really appreciate the team for sharing helpful insights and design decisions – Sora is incredible and is set to transform the video generation community. What we…
Introducing Sora, our text-to-video model. Sora can create videos of up to 60 seconds featuring highly detailed scenes, complex camera motion, and multiple characters with vibrant emotions. openai.com/sora Prompt: “Beautiful, snowy…
As one example of 1.5 Pro’s sophisticated multimodal understanding and reasoning capabilities with long context, when given a 44-minute silent film, the model can analyze various plot points and events, and even makes sense of small details you might have missed.
Today we’re releasing V-JEPA, a method for teaching machines to understand and model the physical world by watching videos. This work is another important step towards @ylecun’s outlined vision of AI models that use a learned understanding of the world to plan, reason and…
In December we began the Gemini Era, and we’ve continued to make relentless progress since. Today we’re thrilled to introduce the next generation: Gemini 1.5 - hugely enhanced performance, highly efficient architecture & long-context length breakthrough blog.google/technology/ai/…
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Richard Socher @RichardSocher
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32K Followers 2K Following gcc startup.c -o ./startup. Focused on machine learning & society. Previously @Salesforce Research via @MetaMindIO. @Harvard '14, @Sydney_Uni '11. 🇦🇺 in SF.
Yesterday, @lmthang from @GoogleDeepMind gave an amazing talk on "AlphaGeometry: An Olympiad-level #AI system for geometry" in the @AIforGood webinar series, which I had the honor to moderate. If you missed it, check the video youtube.com/watch?v=C0Nuq0… @LMU_Muenchen @baiosphere_AI
🔄 Self-Play Fine-Tuning (SPIN) The team behind the SPIN paper just released all the code on GitHub. It's one of the most exciting recent advancements in terms of fine-tuning. Here's how SPIN works: 1. Fine-tune a base model using pairs of instructions and answers 2. Use the…
Google DeepMind has been releasing a bunch of cool research papers lately. That and more of the AI papers I’ve been reading this week: - AnyTool - ALOHA 2 - DeepSeekMath 7B - Self-reflective Agents - Indirect Reasoning with LLMs - Self-Discovered Reasoning Structures -…
Destroying Terrible Anti-AI Arguments: Day Two "What if AI released a deadly virus!" This is a favorite one-liner of X-riskers and advocates of strict AI control. The person usually says it as if it's some kind of "mic drop" moment, proving all AI risk in a single swoop, with…
It's so great that #Bard can generate images! 🥳 😍 This is one of the best improvements of Bard! 👏🏻 🤩 🎉 Thank you so very much, @lmthang and team! 😍 🤩 ✨ 🌟 🎉
Image generation is finally in #Bard! It was an effort that I started with the first demo built 10 months ago; it took a while but I am glad that we have finally shipped it; great joint effort across many teams! Try simple queries like "generate a fantastical image" & get cool…
@lmthang Congrats anh. It works, even for Tet :D
I'm thrilled to have been part of this project, under the guidance of @lmthang, and it's very exciting to see it being launched!
Image generation is finally in #Bard! It was an effort that I started with the first demo built 10 months ago; it took a while but I am glad that we have finally shipped it; great joint effort across many teams! Try simple queries like "generate a fantastical image" & get cool…
From solving "devilishly difficult" problems and likening Olympiad-level mathematics to "pulling rabbits out of hats" this @YouTube deep-dive by @twominutepapers explains WHY @GoogleDeepMind's #AlphaGeometry matters on the quest to #AGI. Thanks for sharing! 🙌 Cc @lmthang
DeepMind’s AlphaGeometry AI: 100,000,000 Examples! youtu.be/WKF0QgxmGKs
Today marks my first year at Google (DeepMind). One year ago today, I joined Google Brain as a student researcher and first started working on large language models. During my time as a student researcher, I investigated how larger language models can do in-context learning…
@lmthang @GoogleDeepMind Congrats, Thang!! Huge achievement
@lmthang @GoogleDeepMind Wow, AlphaGeometry sounds like a game-changer in AI! 🤯 It's amazing to see AI reach such a high level in solving complex math problems. Olympiad level, no less! 🥉 #AIadvancements #TechBreakthroughs
A new and exciting Nature paper on solving geometry problems from my research group at Google Deepmind.
Congrats to the #AlphaGeometry team on their impressive breakthrough published today in @Nature using a neuro-symbolic hybrid AI system that can solve Maths Olympiad-level geometry problems. deepmind.google/discover/blog/…
@lmthang @GoogleDeepMind Congrats on yr new publication!
@lmthang @GoogleDeepMind Congrats for this milestone!
@lmthang @GoogleDeepMind This is so so cool, Thang! Congratulations on this breakthrough!!
@lmthang @GoogleDeepMind Bravo to the Google DeepMind team. Its ability to learn from scratch, without any human demonstrations, is particularly impressive. 🥳
What happened at OpenAI? > Nov 2 -> Sam was in the room, when the team demonstrated the next big improvement. 3 times before in OpenAIs history, most recently with GPT-4, they’d pushed back the veil of ignorance and pushed forward the frontier of discovery. As he watched the…
Sam and I are shocked and saddened by what the board did today. Let us first say thank you to all the incredible people who we have worked with at OpenAI, our customers, our investors, and all of those who have been reaching out. We too are still trying to figure out exactly…
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