Sebastien Bubeck @SebastienBubeck
VP GenAI Research, Microsoft AI sbubeck.com Seattle, WA Joined January 2012-
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Hmmm, I have a feeling this plot might need an overhaul rather soon🤣. I guess phi-2 was the lower left part of the triangle. I wonder what those guys have been up to in the last 6 months? 🤔
Hmmm, I have a feeling this plot might need an overhaul rather soon🤣. I guess phi-2 was the lower left part of the triangle. I wonder what those guys have been up to in the last 6 months? 🤔
As part of our ongoing work on AI safety and security, we've discovered a powerful, yet simple LLM jailbreak that exploits an intrinsic LLM behavior we call 'crescendo' and have demonstrated it on dozens of tasks across major LLM models and services: …ndo-the-multiturn-jailbreak.github.io
At a time where 314B parameters models are trending, come join me at #NVIDIAGTC to see what you can do with 1 or 2B parameters :-) (and coming soon, what can you do with 3B?!?)
@elonmusk and @sama may not agree on much of late, but do agree AI is built on strong math foundations, including algebra and calculus, applauding @UofCalifornia for recent clarifications on math requirements for admission. Many industry leaders signed: mathmatters.ai
Interestingly the unicorn test is much harder today than back in 2022, because there are now a lot more crappy tikz unicorns on the web ... I guess this has some broader significance ...
Interestingly the unicorn test is much harder today than back in 2022, because there are now a lot more crappy tikz unicorns on the web ... I guess this has some broader significance ...
Tune in on Tuesday for a really fun set of conversations on cutting edge AI research!
Tune in on Tuesday for a really fun set of conversations on cutting edge AI research!
Introducing Mixtral, Phi2, Falcon, and Qwen support in #DeepSpeed-FastGen! - Up to 2.5x faster LLM inference - Optimized SplitFuse and token sampling - Exciting new features like RESTful API and more! For more details: github.com/microsoft/Deep… #DeepSpeeed #AI
🚨Princeton ML Theory Summer School🚨 Aug 6 - 15, 2024 Speakers: * F. Krzakala/L. Zdeborova @KrzakalaF @zdeborova * S. Rakhlin * B. Lourerio @_brloureiro * M. Austern * D. Krotov @DimaKrotov * J. Altschuler Details: mlschool.princeton.edu Sponsors:…
I did multiple fine tuning runs over tinyllama-3T and phi-2 using the same dataset (which I think is actually a good dataset of multiturn conversations) Results? Tinyllama can't properly follow multiturns. The model gets confused and brings up completely unrelated completions
Starting the year with a small update, phi-2 is now under MIT license, enjoy everyone! huggingface.co/microsoft/phi-2
Looking for a #postdoc and would like to work at Yale on emerging problems in the areas of foundations of AI/responsible AI? Have your CV, statement, and 3 letters emailed by Jan 15, 2023 cs.yale.edu/homes/vishnoi/… Strong math and empirical background required Please fwd/rt!
Check out this short video for a brief discussion of the phi series with @Microsoft CTO @kevin_scott , including why "textbooks" in "Textbooks Are All You Need" might not be exactly what you have in mind. youtu.be/O-DjHgZt-Uk?si…
This video of a chat between Microsoft CTO @kevin_scott and MSR AI researcher @SebastienBubeck is full of interesting insights about the phi family of large language models, and AI in general. Only 12 minutes, definitely worth watching. youtube.com/watch?v=O-DjHg…
2023 has been the most consequential year in @MSFTResearch's 33-year history. In addition to countless internal (to Microsoft, OpenAI, etc) contributions, I bet that again our labs contributed more per researcher than any others to open research. Read more microsoft.com/en-us/research…
We're so pumped to see phi-2 at the top of trending models on @huggingface ! It's sibling phi-1.5 has already half a million downloads. Can't wait to see the mechanistic interpretability works that will come out of this & their impact on all the important LLM research questions!
Phi-2 by @MicrosoftAI is now the #1 trending model on @huggingface (hf.co/models). 2024 will be the year of smoll AI models!
This is a really excellent video, including an insightful discussion of benchmarks like MMLU: youtube.com/watch?v=nPgs8T…
I'm immensely proud of the work that my colleagues in Microsoft Research showcased at this week’s NeurIPS Conference regarding foundation models of all sizes, including Phi-2, which matches or outperforms models up to 25x larger.
I'm immensely proud of the work that my colleagues in Microsoft Research showcased at this week’s NeurIPS Conference regarding foundation models of all sizes, including Phi-2, which matches or outperforms models up to 25x larger.
Clément Canonne @ccanonne_
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Announcing The LLM Litmus Test! 📊 This is the 1st AI experiments in the new Sourcegraph Labs! We believe greatly in LLM choice, but we often get the question: Which LLM is right for me? With this new tool, you can: 🔴 Compare+contrast different LLMs 🔵 Try GPT-4 Turbo vs…
As part of our ongoing work on AI safety and security, we've discovered a powerful, yet simple LLM jailbreak that exploits an intrinsic LLM behavior we call 'crescendo' and have demonstrated it on dozens of tasks across major LLM models and services: …ndo-the-multiturn-jailbreak.github.io
Introducing a new, fully open robotics dataset! - 76k episodes - 564 unique scenes - 100 contributors - 13 labs/institutions - 3 continents droid-dataset.github.io A short 🧵 on the backstory
Packed room at #NVIDIAGTC24 for @SebastienBubeck's talk about #phi and small language models.
🧵Let me explain why the early ascent phenomenon occurs🔥 We must first understand that in-context learning exhibits two distinct modes. When given samples from a novel task, the model actually learns the pattern from the examples. We call this mode the "task learning" mode.
What a fun group at Stanford today. So many great questions. Thanks for inviting me!
Packed house at today’s @StanfordHAI seminar with @Azure CTO @markrussinovich. We’re diving deep into Microsoft’s AI architecture, as well as advancements and opportunities in trending AI research. You can still join via Zoom: hai.stanford.edu/events/mark-ru…
By that point I had been in grad school for 2.5 years, and for most of them I thought I’d never have a publishable result. Having these two papers was such a relief. I try to remember these things when advising students.
@elonmusk and @sama may not agree on much of late, but do agree AI is built on strong math foundations, including algebra and calculus, applauding @UofCalifornia for recent clarifications on math requirements for admission. Many industry leaders signed: mathmatters.ai
Picking this up as an example for LLM data poisoning for my class
Interestingly the unicorn test is much harder today than back in 2022, because there are now a lot more crappy tikz unicorns on the web ... I guess this has some broader significance ...
with a little more feedback, getting closer to the Mangum Opus
Can Claude 3 Opus draw the famous Tikz unicorn like the one by @SebastienBubeck et al in the Sparks paper? I want to say this is getting close to the version of GPT-4 before the public release, but not fully there. Pretty impressive still.
Can Claude 3 Opus draw the famous Tikz unicorn like the one by @SebastienBubeck et al in the Sparks paper? I want to say this is getting close to the version of GPT-4 before the public release, but not fully there. Pretty impressive still.
Frontier models capping out at ~90% on MMLU isn't a sign of AI hitting a wall. It's a sign that a lot of MMLU questions are busted. The field desperately needs better evals.
We're excited to unveil two new methods for integrating multiple LoRA models into diffusion models: LoRA Switch and LoRA Composite. I'm particularly fond of LoRA Switch, which cycles through different LoRAs with each denoising step. Imagine leveraging the unique styles and…
How hard can it be to draw a unicorn with AI, and what would it look like? 🦄@SebastienBubeck has the answers – and the screenshots! And now also in Spanish, Italian and Portuguese 😆 @SebastienBubeck, when can we expect AGI? We at @rask_ai are already prepared for it #AGI #AI
@karpathy The only problem with hard benchmarks imo, especially when they become standard, and wide reaching, is you cant train on anything very similar, which if benchmarks become wide enough, impacts the actual capabilities you can teach a model
I’m proud to announce our launch of @bioptimus_ai – with a mission to create and build the first #foundationmodel for biology. (1/3)
Honored to become a 2024 #SloanFellow. Thanks to @SloanFoundation and to all my students and collaborators for their amazing work!
We have today announced the names of the 2024 Sloan Research Fellows! Congratulations to these 126 outstanding early-career researchers: sloan.org/fellowships/20…
I'm very honored to have been selected as a #SloanFellow! Thank you @SloanFoundation and a huge thanks to all of my amazing mentors, collaborators, and students.
We have today announced the names of the 2024 Sloan Research Fellows! Congratulations to these 126 outstanding early-career researchers: sloan.org/fellowships/20…
I am excited and humbled to have been selected as a 2024 Sloan Fellow in Mathematics. Thank you @SloanFoundation for this incredible honor.
We have today announced the names of the 2024 Sloan Research Fellows! Congratulations to these 126 outstanding early-career researchers: sloan.org/fellowships/20…
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