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🚨✨ Thrilled to share the first study on model merging at large scales by our intern Prateek Yadav Google AI Google DeepMind For larger LLMs merging is an efficient alternative to multitask learning, that can preserve the majority of in-domain performance, while significantly

I'm on the job market! Please reach out if you are looking to hire someone to work on - RLHF - Efficiency - MoE/Modular models - Synthetic Data - Test time compute - other phases of pre/post-training. If you are not hiring then I would appreciate a retweet! More details👇

Prateek is an amazing researcher!! Definitely hire him!

Try our new experimental thinking model at aistudio.google.com/prompts/new_ch… !! Appreciate any and all feedback

We are rolling out a new Gemini 2.0 Flash Thinking update: - Exp-01-21 variant in AI Studio and API for free - 1 million token context window - Native code execution support - Longer output token generation - Less frequent model contradictions Try it aistudio.google.com

1/ Gemini 2.5 is here, and it’s our most intelligent AI model ever. Our first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on

A historic elo margin on LMSYS and also crushed almost all reasoning and STEM benchmarks!! So proud of this team!!

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shoutout to the believers!

🚨 New paper 🚨 Excited to share my first paper w/ my PhD students!! We find that advanced LLM capabilities conferred by instruction or alignment tuning (e.g., SFT, RLHF, DPO, GRPO) can be encoded into model diff vectors (à la task vectors) and transferred across model

Excited to share that our paper on model merging at scale has been accepted to Transactions on Machine Learning Research (TMLR). Huge congrats to my intern Prateek Yadav and our awesome co-authors Jonathan Lai, Alexandra Chronopoulou, Manaal Faruqui, Mohit Bansal, and Tsendsuren 🎉!!

Huge congrats Prateek Yadav and all!! 🎉 It was great to work with everyone here!

#BatFlip forever on loop. #OwnOctober vine.co/v/eEdvmvFOj5A