Aleks Ficek π§ͺ
@AlekFicek
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LLM Research @NVIDIA | Also run a meetup @zurichnlp | Solve intelligence, solve everything else
Zurich, Switzerland
Joined June 2013
Thank you @SchmidhuberAI for speaking in front of a packed room at ZurichAI in the @ETH_AI_Center yesterday! It's the biggest event so far, by far. Thanks everyone for coming; we're sorry for anyone who couldn't didn't get a spot. More and bigger things are planned!
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Our team has just achieved gold medal at the International Olympiad in Informatics (IOI) with open-weight models for the first time! π
This marks a pivotal step in bridging the gap between open and closed-source AI, see @mehrzadsamadi's post for more details. π₯
(1/5) π For the first time, an open-weight model has achieved a gold medal at the International Olympiad in Informatics (IOI). We did it with gpt-oss-120b and our new framework, GenCluster!
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Excellent opportunity to close the gap between open and closed source LLMs π₯
Do you want to work on LLM and DLM model post-training with us? @JiantaoJ is hiring!
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π£ Announcing the release of OpenReasoning-Nemotron: a suite of reasoning-capable LLMs which have been distilled from the DeepSeek R1 0528 671B model. Trained on a massive, high-quality dataset distilled from the new DeepSeek R1 0528, our new 7B, 14B, and 32B models achieve SOTA
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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! π Thank you to all of the attendees, speakers and the team running the events. β€οΈ
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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!
zurichai.ch
ZurichAI is the largest regularly scheduled machine learning meetup in Switzerland. We're in Zurich and host events for NLP, CV & more with 100+ regular attendees.
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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 π€―
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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. π§΅
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People tell me that there is no active AI/builder community in Switzerland π¨π Its improving! E.g. join the @zurichnlp events. Today was a nice talk from @AlekFicek about synthetic data generation for reasoning models!
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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! π π ZurichNLP Meetup #17 this Tuesday June 17th at 18:00 https://t.co/drVtQgUPLc
zurichai.ch
Aleksander Ficek (NVIDIA) on synthetic generators & verifiers for coding and Matteo Saponati (ETH Zurich) on the structures of self-attention beyond keys and queries.
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ZurichNLP#17 will be in two weeks on Tuesday, June 17th at the @ETH_AI_Center! Our very own @AlekFicek (NVIDIA) will talk about synthetic generators and verifiers for coding and @matteosaponati (ETH Zurich) about structures of self-attention beyond keys and queries.
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NVIDIA just open sourced Open Code Reasoning models - 32B, 14B AND 7B - APACHE 2.0 licensed π₯ > Beats O3 mini & O1 (low) on LiveCodeBench π Backed by OCR dataset the models are 30% token efficient than other equivalent Reasoning models Works with llama.cpp, vLLM,
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The largest Math dataset for reasoning yet, 5+ M samples, and the strongest scores yet for multiple model sizes from the Math Reasoning team !
Keeps getting better: Nvidia also dropped OpenMath Nemotron 32B & 14B - secured FIRST prize in AIMO-2 competition π€― > beats DeepSeek R1, QwQ and more on AIME, HLE-Math and more So cool to see Nvidia not just releasing model checkpoints, but also the code and the datasets too
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ZurichCV#9 is in exactly one week on Tuesday 29th at @ETH_AI_Center. Join Linus Scheibenreif (ETH Zurich) and Pascal Chang (Disney Research). RSVP at zurichai(.)ch!
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Cool to see Scoring-Verifiers and OpenCodeReasoning there! π€©
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? https://t.co/uM0sHKZ4yI
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Good morning worldβ¨We just dropped the best open-source reasoning model. Enjoy! π«³ https://t.co/Cs0g8lmF13
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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 π NVIDIA LLM research π 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 β¨ 3Γ faster at inference β¨ https://t.co/s9MvKYBHEc
arxiv.org
As inference-time scaling becomes critical for enhanced reasoning capabilities, it is increasingly becoming important to build models that are efficient to infer. We introduce Nemotron-H, a family...
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