
Ed H. Chi
@edchi
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Research VP @ GoogleDeepMind. Research Lead for LaMDA/Bard, Neural & LLM Recommender, AutoML, Reasoning. ACM Fellow.
California
Joined October 2007
How I would argue this point: .Most of current RL feedback methods are actually maximum likelihood methods for a single-turn prompt-response. Question: Is this enough? Lol.
Scaling up RL is all the rage right now, I had a chat with a friend about it yesterday. I'm fairly certain RL will continue to yield more intermediate gains, but I also don't expect it to be the full story. RL is basically "hey this happened to go well (/poorly), let me slightly.
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RT @demishassabis: Our open source Gemma models are the most powerful single GPU/TPU models out there! Our latest model Gemma 3n has amazin….
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RT @OfficialLoganK: Say hello to the @geminicli, a local CLI to help you build and maintain software with 1,000 free Gemini 2.5 Pro request….
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RT @getjonwithit: Calling c the "speed of light" completely misses the point. Rather, c is the "spacetime exchange rate": how many units of….
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Happy to work with Josh and his team on many of these concepts to come.
Great software feels like an extension of you. We're building @GeminiApp to be the most PERSONAL, PROACTIVE, and POWERFUL assistant. 👀Here's the strategy:. 1/ PERSONAL: The best assistant gets you. It starts by knowing your past chats (launching soon), but we’ll go further:
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A big part of my team worked on this amazing release of Gemini. #1 in LMArena today. Try it out here:
🥁Introducing Gemini 2.5, our most intelligent model with impressive capabilities in advanced reasoning and coding. Now integrating thinking capabilities, 2.5 Pro Experimental is our most performant Gemini model yet. It’s #1 on @lmarena_ai leaderboard. 🥇
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RT @heiga_zen: ✨ Exciting Opportunity at Google DeepMind Tokyo! ✨. We're seeking a brilliant Research Scientist to join our team. Are you p….
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