Behnam Neyshabur @bneyshabur
Senior Staff Research Scientist @GoogleDeepMind, Interested in reasoning w. LLMs, traveling & backpacking neyshabur.net Planet Earth Joined May 2014-
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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…
More exciting news today -- Gemini 1.5 Pro result is out! Gemini 1.5 Pro API-0409-preview now achieves #2 on the leaderboard, surpassing #3 GPT4-0125-preview to almost top-1! Gemini shows even stronger performance on longer prompts, in which it ranks joint #1 with the latest…
More exciting news today -- Gemini 1.5 Pro result is out! Gemini 1.5 Pro API-0409-preview now achieves #2 on the leaderboard, surpassing #3 GPT4-0125-preview to almost top-1! Gemini shows even stronger performance on longer prompts, in which it ranks joint #1 with the latest… https://t.co/IvrwwMRhkU
We are rolling out Gemini 1.5 Pro API so that you can keep building amazing stuff on top of the model like we've seen in the past few weeks. Also, if you just want to play with Gemini 1.5, we removed the waitlist: aistudio.google.com Last, but not least, we pushed the model…
We are rolling out Gemini 1.5 Pro API so that you can keep building amazing stuff on top of the model like we've seen in the past few weeks. Also, if you just want to play with Gemini 1.5, we removed the waitlist: aistudio.google.com Last, but not least, we pushed the model… https://t.co/EQ8VtKFiom
It was so inspiring to listen to Sergey talk about AGI, Gemini other Google initiatives and honestly answer so many questions from everyone!
🤯 Mind officially blown: I recorded a screen capture of a task (looking for an apartment on Zillow). Gemini was able to generate Selenium code to replicate that task, and described everything I did step-by-step. It even caught that my threshold was set to $3K, even though I…
In my opinion, we appear close to achieving this milestone that @GaryMarcus described in 2014, which he described as a "Turing Test for the twenty-first century".
In my opinion, we appear close to achieving this milestone that @GaryMarcus described in 2014, which he described as a "Turing Test for the twenty-first century". https://t.co/EyZmovk0Wu
It certainly has been a fun year @Google: enjoy playing with our open source models Gemma, built from the same research and technology used to create the Gemini models. 💙♊️🚀 Blog: blog.google/technology/dev… Tech report: storage.googleapis.com/deepmind-media…
Introducing Gemma: a family of lightweight, state-of-the-art open models for developers and researchers to build with AI. 🌐 We’re also releasing tools to support innovation and collaboration - as well as to guide responsible use. Get started now. → dpmd.ai/3UJu1Y1
Gemma is a new family of open models that help developers and researchers build AI. Along with the lightweight models, we’re launching tooling that encourages collaboration and a guide to responsible use of these models. Learn more → goo.gle/49IOArw
Gemini Pro 1.5 with 1M token window vs. Claude 2.1 with 100k vs. OpenAI GPT-4 with RAG I uploaded the Great Gatsby with 2 alterations (mentioning an "iphone-in-a-box" and a laser lawnmower) Gemini nails it (& finds one more thing). Claude does but hallucinates. RAG doesn't work
Gemini 1.5 Pro's 1,000,000+ token context length is incredible. I got early access and spent my Saturday night running tests. Here are 6 impressive capabilities I found:
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.
Introducing Gemini 1.5: our next-generation model with dramatically enhanced performance. It also achieves a breakthrough in long-context understanding. The first release is 1.5 Pro, capable of processing up to 1 million tokens of information. 🧵 dpmd.ai/3SEbw4p
To show what’s possible with the drastically huge context window in Gemini 1.5 Pro, we prompted it with the three.js examples code - over 100,000 lines of code/800k+ tokens! (That’s not even the max, it can handle millions of tokens 😀) Gemini was able to process all the code…
I'm very excited about this release: Gemini 1.5 Pro - A highly capable multimodal model with a 10M(!!!) token context length!
I'm very excited about this release: Gemini 1.5 Pro - A highly capable multimodal model with a 10M(!!!) token context length!
Bard (the product) is now Gemini. Gemini Advanced is powered by the Gemini Ultra 1.0 model, our most advanced multimodal model. Congrats to everyone who worked on this effort, including the Bard and Gemini teams! Lots more updates in the blog post! blog.google/products/gemin…
🔥Breaking News from Arena Google's Bard has just made a stunning leap, surpassing GPT-4 to the SECOND SPOT on the leaderboard! Big congrats to @Google for the remarkable achievement! The race is heating up like never before! Super excited to see what's next for Bard + Gemini…
Gemini Pro matches GPT-4 in ELO, but the real game changer is that sampling a million tokens costs $0.5 instead of $30
Gemini Pro matches GPT-4 in ELO, but the real game changer is that sampling a million tokens costs $0.5 instead of $30
Today, you can begin to #BuildWithGemini. ⚒️ The Gemini Pro API is now available to developers in Google AI Studio: a free web-based tool. Enterprises can also access it through @googlecloud’s #VertexAI platform. Find out more. → dpmd.ai/48eSB6r
Nice post comparing vision capabilities for #GeminiAI Pro, GPT-4V, and open source models (CogVLM 17b), Qwen-VL, LLaVA etc) from @roboflow. Wanted to note that Ultra does correctly solve the document OCR and image / serial number OCR tasks. blog.roboflow.com/first-impressi…
Peyman Milanfar @docmilanfar
67K Followers 261 Following Distinguished Scientist at Google Research. Computational Imaging, Machine Learning, and Vision. Tweets = personal opinions. May change or disappear over time.Gautam Kamath @thegautamkamath
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623 Followers 1K Following Trying to solve important problems with technologyHeng-Tze Cheng @HengTze
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20K Followers 100 Following Senior staff scientist @GoogleDeepMind. PhD @StanfordNLP. PI #AlphaGeometry. Co-lead #Bard Multimodality, now #Gemini. Co-founder #MeenaBot (later LaMDA).Lex Fridman @lexfridman
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1 Followers 1 FollowingAmin Barekatain @BarekatainAmin
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3K Followers 600 Following research scientist @googledeepmind, working on gemini // prev @mila_quebec, @googleai, @msftresearch, @iitkgpDelighted and honoured to receive a Knighthood for services to AI. It’s been an incredible journey so far building @GoogleDeepMind over the past 15 years, helping accelerate the field and grow the UK & global AI ecosystems. Thanks to everyone who helped make this dream possible!
Our latest reasoning update. 24%->50% on MATH from Grok 1 to 1.5.
Supercharge your terminal with this utility for calling Gemini. Example uses: ls -al | gem "Which filenames are likely to be scientific PDFs?" cat server.log | gem "Why is this error happening? How do I fix it?" cat meeting_notes.txt | gem "Extract the key decisions from these…
@bneyshabur ‘s talk is original and insightful, because, I guess, it all comes from his own experience. TL;DR. Be sharp in adapting in this fast technology evolution, unless you have a faculty job (lol)
SD3 is out and it is way better than previous versions! Happy to be part of that. #SD3
Announcing Stable Diffusion 3, our most capable text-to-image model, utilizing a diffusion transformer architecture for greatly improved performance in multi-subject prompts, image quality, and spelling abilities. Today, we are opening the waitlist for early preview. This phase…
🤯 Mind officially blown: I recorded a screen capture of a task (looking for an apartment on Zillow). Gemini was able to generate Selenium code to replicate that task, and described everything I did step-by-step. It even caught that my threshold was set to $3K, even though I…
It certainly has been a fun year @Google: enjoy playing with our open source models Gemma, built from the same research and technology used to create the Gemini models. 💙♊️🚀 Blog: blog.google/technology/dev… Tech report: storage.googleapis.com/deepmind-media…
Google DeepMind engineers increased the context window for Gemini 1.5 Pro from 32,000 to 1 million tokens — giving it the longest context window yet of any model of its size. Our engineers explain what this means and why it's helpful → goo.gle/3I9a9pr #BuildWithGemini
Gemini-1.5 Pro has its spotlight stolen today, and people are poking fun at Sora vs Google memes. Well, I think it's the biggest boost in LLM capability so far in 2024. v1.5's 10M token context (1) excels at retrieval; (2) generalizes zero-shot to extremely long instructions like…
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/…
To show what’s possible with the drastically huge context window in Gemini 1.5 Pro, we prompted it with the three.js examples code - over 100,000 lines of code/800k+ tokens! (That’s not even the max, it can handle millions of tokens 😀) Gemini was able to process all the code…
Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length Today we are releasing the first demonstrations of the capabilities of the Gemini 1.5 series, with the Gemini 1.5 Pro model. One of the key differentiators of this model is its incredibly long…
Bard is now called Gemini; and Gemini Advanced with Ultra 1.0 has launched! It was the most preferred chatbot in blind evaluations with third-party raters. And it’s now available on mobile on Android and iOS. Have fun trying it out!
Bard is becoming Gemini, and we’re launching two new experiences: 1️⃣ Gemini Advanced, which gives you access to Ultra 1.0, our most capable AI model 2️⃣ A new mobile app for easier collaboration on the go Learn more ↓ goo.gle/489fXtT
Bard (the product) is now Gemini. Gemini Advanced is powered by the Gemini Ultra 1.0 model, our most advanced multimodal model. Congrats to everyone who worked on this effort, including the Bard and Gemini teams! Lots more updates in the blog post! blog.google/products/gemin…
Bard, powered by the Gemini Pro-scale model, debuts at the #2 position on the independent lmsys leaderboard. 🔥 Give it a try at bard.google.com. Bard is much better & has many more capabilities since its debut in March, thanks to everyone on the Bard/Gemini teams!
🔥Breaking News from Arena Google's Bard has just made a stunning leap, surpassing GPT-4 to the SECOND SPOT on the leaderboard! Big congrats to @Google for the remarkable achievement! The race is heating up like never before! Super excited to see what's next for Bard + Gemini…
🔥Breaking News from Arena Google's Bard has just made a stunning leap, surpassing GPT-4 to the SECOND SPOT on the leaderboard! Big congrats to @Google for the remarkable achievement! The race is heating up like never before! Super excited to see what's next for Bard + Gemini…
Evaluation of LLMs is very hard and nuanced (especially academic evals which are leaked massively). Evals that rely on human judgement are far superior, so it feels good that Bard Gemini Pro (free tier) climbed pretty high on lmsys🪜 Looking forward to Gemini Ultra release!…
🔥Breaking News from Arena Google's Bard has just made a stunning leap, surpassing GPT-4 to the SECOND SPOT on the leaderboard! Big congrats to @Google for the remarkable achievement! The race is heating up like never before! Super excited to see what's next for Bard + Gemini…
Gemini Pro matches GPT-4 in ELO, but the real game changer is that sampling a million tokens costs $0.5 instead of $30
🔥Breaking News from Arena Google's Bard has just made a stunning leap, surpassing GPT-4 to the SECOND SPOT on the leaderboard! Big congrats to @Google for the remarkable achievement! The race is heating up like never before! Super excited to see what's next for Bard + Gemini…
We've finally put out a detailed IEEE/ACM paper on @Google's multi-year effort to ease the burden of code review with ML. Google engineers now resolve 7.5% of all code review comments with an ML-suggested edit. But the path to that number has been a fun ML and UX journey!