Ethan Dyer
@ethansdyer
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Joined March 2017
RT @bneyshabur: I'm excited about this! Our team has been working really hard to improve Gemini 1.5 capabilities significantly on multiple….
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RT @OriolVinyalsML: Today we have published our updated Gemini 1.5 Model Technical Report. As @JeffDean highlights, we have made significan….
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RT @thebasepoint: In writing this paper, there were countless features we thought might be bugs. After careful inspection, ~all of them rev….
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RT @Nature: Nature research paper: Universality in long-distance geometry and quantum complexity
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RT @bneyshabur: Excited to announce that the entire Blueshift team has joined @DeepMind! We will be working with @OriolVinyalsML and others….
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RT @bneyshabur: If you are interested in solving challenging multi-step reasoning problems with LLMs, join us!. We have an opening for a Re….
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3/ Find out more about Minerva in the blog post (, paper ( or explore more minerva samples (!
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2/ Among many impressive properties, one side effect of training on the web is that Minerva has seen text used to draw mathematical figures and so can sometimes reason about diagrams.
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1/ Super excited to introduce #Minerva 🦉(. Minerva was trained on math and science found on the web and can solve many multi-step quantitative reasoning problems.
Very excited to present Minerva🦉: a language model capable of solving mathematical questions using step-by-step natural language reasoning. Combining scale, data and others dramatically improves performance on the STEM benchmarks MATH and MMLU-STEM.
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RT @vedantmisra: Thrilled to announce🦉Minerva: a large language model capable of solving mathematical problems using step-by-step reasoning….
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RT @bneyshabur: Very excited to announce a significant milestone in expanding reasoning capabilities of language models! 🎉🎉. We introduce #….
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RT @Yuhu_ai_: Super excited to share Minerva!! – a language model that is capable of solving MATH with 50% success rate, which was predicte….
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RT @alewkowycz: Very excited to present Minerva🦉: a language model capable of solving mathematical questions using step-by-step natural lan….
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RT @noranta4: @FelixHill84 You may want to check out the Symbol-Interpretation task in Big-Bench [f1]. PaLM and other LLMs do not go furth….
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RT @ethanCaballero: Google has released the 442 author 132 institution extremely diverse "BIG-Bench" Neural Scaling Laws Benchmark Evaluati….
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RT @LiamFedus: It takes an army. Today we're delighted to release BigBench🪑: 200+ language tasks crowd-sourced from *442* authors spannin….
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RT @jaschasd: After 2 years of work by 442 contributors across 132 institutions, I am thrilled to announce that the .
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RT @bneyshabur: You think the RNN era is over? Think again!. We introduce "Block-Recurrent Transformer", which applies a transformer layer….
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