Ankesh Anand @ankesh_anand
research scientist @googledeepmind, working on gemini // prev @mila_quebec, @googleai, @msftresearch, @iitkgp ankeshanand.com London, England Joined December 2011-
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Let’s just say that 1.5 Pro’s abilities have been severely underestimated.
Let’s just say that 1.5 Pro’s abilities have been severely underestimated.
Bunch of improvements to Gemini 1.5 Pro today: * No waitlist on the API. * Better at reasoning, multimodal, instruction-following and a bunch of other evals. * Video+Audio support: Video inputs can now parse audio as well on AIStudio. developers.googleblog.com/2024/04/gemini…
【Gemini 1.5 Proの性能が群を抜いてすごい件。GPT-4、Claude 3を凌駕】 目でも見えないくらい細かい生成AI企業のカオスマップをGemini 1.5 Pronで解析したところ、5分くらいずっとAIが動いて企業名を書き出した。 GPT-4：解析不能 Claude 3：本当に一部のみ 比較すると差は歴然。…
Gemini 1.5 is free in AI Studio right now, with 1M context length. 😉 Waitlist should move pretty fast, sign up here: aistudio.google.com/app/waitlist/9…
Gemini 1.5 is free in AI Studio right now, with 1M context length. 😉 Waitlist should move pretty fast, sign up here: aistudio.google.com/app/waitlist/9…
Congrats to the anthropic team on shipping! GPQA is kinda the only eval I trust on this table, and opus seems clearly better there than any other publicly available model.
Congrats to the anthropic team on shipping! GPQA is kinda the only eval I trust on this table, and opus seems clearly better there than any other publicly available model.
For this simple retrieval task: - short input: Gemini 1.5 wins - medium input: methods other than Gemini 1.5 perform poorly - long input: methods other than Gemini 1.5 fail totally
IMO, Gemini 1.5 Pro is the largest leap in long form video understanding since I started my PhD in long form video + language understanding back in 2016, and more will be coming 🔥
IMO, Gemini 1.5 Pro is the largest leap in long form video understanding since I started my PhD in long form video + language understanding back in 2016, and more will be coming 🔥
I gave Gemini 1.5 Pro Mr. Beast’s latest video. It’s 22min and 347,849 tokens. I asked it to “Reply with [NAME OF GUY ON BLUE FOOTBALL] has [TOTAL CASH PRIZE POOL] of [FOOD ITEM BEING ADVERTISED].” Watch the model get it 100% correct. Insane leap for AI.
Shit, Google wasn't kidding. Gemini 1.5 Pro just went straight from a full movie to a summary in seconds. No transcription, no intermediate steps. Just visual tokens -> summary. Next up, validating the haystack tests.
To preempt any confusion: Multimodal queries don't go through Pro / Ultra yet, but that's coming soon too!
To preempt any confusion: Multimodal queries don't go through Pro / Ultra yet, but that's coming soon too!
How do the SOTA large Vision-Language Models (or Multimodal LLMs) performance on this task? A striking performance gap from average humans (e.g., 99% vs. 39-72% on the real-world subset)! Congrats to the Gemini team for the impressive lead over GPT-4V @JeffDean! Curious about…
🔥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…
@eladgil @patrickc In AI at least, the real 30 under 30 imo you have never heard of. They are 5 layers down the org chart from the CEO. They are usually not on Twitter, they have an unmaintained LinkedIn, they don’t go on podcasts, and they maybe published at one point but don’t do so anymore. They…
Gather-Attend-Scatter (GATS), a novel module that combines pretrained foundation models operating at different rates into larger multimodal networks. Paper: arxiv.org/abs/2401.08525
We have some new findings on synthetic data I'm excited about: * Synthetic data improves mathematical reasoning, at scale! * Fine-tuning with synthetic data turns out to be better than fine-tuning on GT human written answers.
We have some new findings on synthetic data I'm excited about: * Synthetic data improves mathematical reasoning, at scale! * Fine-tuning with synthetic data turns out to be better than fine-tuning on GT human written answers.
the gemini team moves very fast and the energy is contagious! this is going to break a lot of narratives and assumptions in the coming year :) s/o to @LencKarel @antoine77340 and @drjwrae for pairing on this!
the gemini team moves very fast and the energy is contagious! this is going to break a lot of narratives and assumptions in the coming year :) s/o to @LencKarel @antoine77340 and @drjwrae for pairing on this!
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7K Followers 2K Following Staff Research Scientist @DeepMind | LLMs, Evals & Model Understanding | Previously: @facebookAI | @Yale Physics PhD | @CERN | @BerkeleyLab | @UCBerkeleyI am super excited to share our Llama3 preview models (8B and 70B). I am proud to have been a part of this amazing effort over the past 8 months. We still have some super cool stuff coming up in the coming months... until then, enjoy playing with these preview models…
1/n Gemini 1.5 Pro is surprisingly rich and insightful! Here's a small test I just did to answer the question "Explain why Talking Head AI that mimic humans speaking and expressions are primarily researched in Asia. What is the underlying motivations for this?" Here are…
We studied In-Context learning with hundreds to thousands of examples. My favorite example: I sent *one million* tokens to Gemini 1.5 Pro for linear classification with 64 dimensional integer-valued vectors and many-shot learning performs similarly to k-Nearest Neighbours.
@arankomatsuzaki If they allow you to keep the many-shot kv cache warm for you, that could replace fine-tuning for a good number of use cases. Probably easier to deploy given the weights are the same
If you haven’t tried AI Studio, you can try Gemini 1.5 pro for free! aistudio.google.com
After receiving community feedback, we added @GoogleDeepMind Gemini 1.5 Pro's results. 👇 Gemini 1.5 Pro's vision ability was significantly improved compared to 1.0 Pro and matched GPT-4's performance on our VisualWebBench! 🏆 Its action prediction (e.g., predicting what would…
🚀Introducing VisualWebBench: A Comprehensive Benchmark for Multimodal Web Page Understanding and Grounding. visualwebbench.github.io 🤔What's this all about? Why this benchmark? > Back in Nov 2023, when we released MMMU (mmmu-benchmark.github.io), a comprehensive multimodal…
Long context chat feels quite different and very impressive. I have been testing a long context chat with Gemini 1.5 pro preview that's well over 100k tokens, and the way it's able to draw on earlier conversational context feels like a huge step up in assistant capability.
Interesting to see a big new multimodal model come out, especially as Gemini 1.5 has been the only publicly available model that could work with video I have only played with it a bit, and the model seems pretty capable, but it hallucinates much more than Gemini on video so far
Meet Reka Core, our best and most capable multimodal language model yet. 🔮 It’s been a busy few months training this model and we are glad to finally ship it! 💪 Core has a lot of capabilities, and one of them is understanding video --- let’s see what Core thinks of the 3 body…
i'm at a loss. no one warned me multimodal input has made it this far. i fed one of my favorite songs, "the stars vs creatures" by colleen into gemini 1.5 pro, without telling it anything else. it can hear.
@OfficialLoganK Man, people in the comment section here are obviously confusing Gemini 1.5 Pro and Gemini Advanced. Two different monsters.
Can Gemini 1.5 actually read all the Harry Potter books at once? I tried it. All the books have ~1M words (1.6M tokens). Gemini fits about 5.7 books out of 7. I used it to generate a graph of the characters and it CRUSHED it.
New audio mode in Gemini is ridiculous. I uploaded a full raw 2+ hours of audio in there, and asked a direct question and in less than 30 seconds it processed 250K tokens of audio, and extracted valuable insights from this audio. Also in the the pic of @googleaistudio : 1)…
Excited to share Udio, a music generation app. I co-founded Udio with the brilliant @yaroslav_ganin @conormdurkan @DavidDingAI @avincentsanchez Thanks to them and to all our supporters. Let's make some music!
Introducing Udio, an app for music creation and sharing that allows you to generate amazing music in your favorite styles with intuitive and powerful text-prompting. 1/11
Guys… Gemini 1.5 is insanely good. It excels in transcribing, recognizing people being transcribed with sufficient examples, and multilingual capabilities. It surpasses both GPT-4 and Claude 3 in coding—an all-around amazing tool. A mind-blowing improvement over Gemini 1.0…
@ankesh_anand I've been telling everybody that Gemini is being massively slept on. Currently my favorite model.
@ankesh_anand @profjoeyg I think a similar arena for LMMs exists: github.com/OpenGVLab/Mult… (however I don't think they have as many models or as large a user-base) vlarena.opengvlab.com also does not seem to be as regularly updated as chatbot-arena.
Introducing Udio, an app for music creation and sharing that allows you to generate amazing music in your favorite styles with intuitive and powerful text-prompting. 1/11
@ankesh_anand Gemini 1.5 Pro is now even better 🙌
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