Aleks Ficek 🧪
@AlekFicek
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LLM Research @NVIDIA | Also run a meetup @zurichnlp | Solve intelligence, solve everything else
Zurich, Switzerland
Joined June 2013
As for the future, I'll be looking to get more involved in the AI scene in London so if you have any leads or just want to connect, please reach out! 😄. Thank you to all of the attendees, speakers and the team running the events. ❤️.
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I will keep telling people that Zurich has the highest tech talent density in the world and if you are in the city, RSVP to one of our meet-ups!
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It has been incredibly fulfilling to run something so grassroots and see the AI community in Zurich flourish. We've hosted 26 meet-ups and have had thousands of people attend talks given by AI researchers to startup founders 🤯.
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2.5 years ago I co-founded ZurichAI because I felt the city needed something to connect all of the talented AI researchers. I'm moving to London so a week ago I presented my team's work on "Synthetic Data for Coding and Reasoning in LLMs" as a fitting end to my contribution. 🧵
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RT @nicolasmunty: People tell me that there is no active AI/builder community in Switzerland 🇨🇭. Its improving! E.g. join the @zurichnlp ev….
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Come check out our next ZurichNLP meetup, where I'll present on generating synthetic data for reasoning and coding in LLMs! 🚀. 👉 ZurichNLP Meetup #17 this Tuesday June 17th at 18:00.
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RT @zurichnlp: ZurichNLP#17 will be in two weeks on Tuesday, June 17th at the @ETH_AI_Center!. Our very own @AlekFicek (NVIDIA) will talk a….
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RT @reach_vb: NVIDIA just open sourced Open Code Reasoning models - 32B, 14B AND 7B - APACHE 2.0 licensed 🔥. > Beats O3 mini & O1 (low) on….
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RT @HaseoX94: The largest Math dataset for reasoning yet, 5+ M samples, and the strongest scores yet for multiple model sizes from the Math….
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RT @zurichnlp: ZurichCV#9 is in exactly one week on Tuesday 29th at @ETH_AI_Center. Join Linus Scheibenreif (ETH Zurich) and Pascal Chang….
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Cool to see Scoring-Verifiers and OpenCodeReasoning there! 🤩.
What's cool about @nvidia is that in addition to models, they release tons of cool datasets! Why are the other big tech not doing that too?
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Good morning world✨We just dropped the best open-source reasoning model. Enjoy! 🫳.
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Nice to see the traction for our work!.
OpenCodeReasoning: Competitive Coding Dataset. - 735K Python solutions across 28K unique programming problems.- Largest reasoning-based synthetic dataset for code generation.- Generated by NVIDIA's R1 model with full reasoning steps.- Sourced from 10 competitive coding platforms
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Markets down 📉 NVIDIA LLM research 📈 Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models! . Better or on-par accuracy compared to other similar open-sourced transformer models while being up to ✨ 3× faster at inference ✨.
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Another release from our team with fantastic results: OpenCodeReasoning, a 735k sample dataset that achieves SoTA LiveCodeBench with SFT🧨. And we open-source it! 😄
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We:.1. Provide a recipe to transform any coding benchmark into a code scoring and ranking benchmark. 2. Create ranking versions of HumanEval and MBPP datasets: HE-R, HE-R+, MBPP-R, MBPP-R+. 3. We use our benchmark to evaluate test case generation in LLMs and coding reward models.
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