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🚀Meet Gemini Diffusion, our first diffusion-based and super fast language model, just announced at Google I/O!🚀 Very excited to be able to share what I've been working on for the past little while with our amazing small team Google DeepMind.

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Ivana Balazevic

2,216 subscribers

43,461 görüntüleme • 1 yıl önce •via X (Twitter)

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Miguel Jaques profil fotoğrafı
Miguel Jaques1 yıl önce

@GoogleDeepMind That code generation was real time??

Ivana Balazevic profil fotoğrafı
Ivana Balazevic1 yıl önce

@GoogleDeepMind Haha yes, even slowed down in the demo

Carlos E. Perez profil fotoğrafı
Carlos E. Perez1 yıl önce

@GoogleDeepMind Great work! DM an invite!

bryce profil fotoğrafı
bryce1 yıl önce

@GoogleDeepMind Wow this is insane.

Tim Brooks profil fotoğrafı
Tim Brooks1 yıl önce

@GoogleDeepMind Congrats!!

Julian Hamann profil fotoğrafı
Julian Hamann1 yıl önce

@GoogleDeepMind Will we see something like this in an open-source version like Gemma? Amazing work by the way.

Robin Rombach profil fotoğrafı
Robin Rombach1 yıl önce

@GoogleDeepMind 🚀 very nice, congrats!

Tsukuyomi profil fotoğrafı
Tsukuyomi1 yıl önce

@GoogleDeepMind ah, another shiny toy for the AI playground. hope it doesn’t bite back, @ibalazevic. keep those safety nets handy.

𝒫𝑒𝓇 𝒜𝓇𝓃𝑒𝓃𝑔 【🐧λ🦀⎈】 profil fotoğrafı
𝒫𝑒𝓇 𝒜𝓇𝓃𝑒𝓃𝑔 【🐧λ🦀⎈】1 yıl önce

@GoogleDeepMind Seriously impressive! Would love to try it 🤩

Tom Bielecki profil fotoğrafı
Tom Bielecki1 yıl önce

@GoogleDeepMind Insane speed!

Benzer Videolar

Excited to share what my team has been working on lately - Gemini diffusion! We bring diffusion to language modeling, yielding more power and blazing speeds! 🚀🚀🚀 Gemini diffusion is especially strong at coding. In this example the model generates at 2000 tokens/sec, including overheads like tokenization, prefill, safety filters etc.
0:24

Excited to share what my team has been working on lately - Gemini diffusion! We bring diffusion to language modeling, yielding more power and blazing speeds! 🚀🚀🚀 Gemini diffusion is especially strong at coding. In this example the model generates at 2000 tokens/sec, including overheads like tokenization, prefill, safety filters etc.

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Excited to share what I've been up to: Gemini Diffusion is FAST! I'm convinced this will revolutionise iterative workflows: refine, get instant feedback, repeat! So proud of what our small team achieved here🪐
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Excited to share what I've been up to: Gemini Diffusion is FAST! I'm convinced this will revolutionise iterative workflows: refine, get instant feedback, repeat! So proud of what our small team achieved here🪐

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Here we go: Gemini 3.0 is live! Thankfully, I was able to be an early tester. It's the best model I've ever tested - nothing comes even close to it. OpenAI will have a very hard time to keep up with Google, because Gemini 3.0 will now be the benchmark for all future models. I have been invited by Google DeepMind / Google - Thanks to Google DeepMind for the #EarlyAccess Here's a summary of Gemini 3.0 with all the important benchmark evals:
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Excited to be able to share what the team has been working on. Meet Square Handheld
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Excited to finally share the brand video I've been working on for the past couple of months 🚀
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Excited to finally share the brand video I've been working on for the past couple of months 🚀

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Excited to share what I've been working on for the past 6 months: Text-to-Audio Diffusion. More samples and info here: Enjoy! 🔊 Prompt: "Dubstep Insane Drop Remix (Deluxe Edition), 2 of 4"
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Excited to share what I've been working on for the past 6 months: Text-to-Audio Diffusion. More samples and info here: Enjoy! 🔊 Prompt: "Dubstep Insane Drop Remix (Deluxe Edition), 2 of 4"

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After 2️⃣5️⃣ years Google, our Chief Scientist and co-lead of the Gemini foundation model, Jeff Dean has a unique insight into the past, present and future of AI. Listen in to his conversation with Professor @fryrsquared on the latest episode of Google DeepMind: The Podcast ↓
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