Torsten Scholak @tscholak
Lead Research Scientist, Foundation Models Lab @ServiceNowRSRCH. Opinions are not that of my employer. tscholak.github.io Montréal Joined February 2010-
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You should work with Spandana
Torsten Scholak retweeted
🚨 Is #WorkArena on the verge of being solved? Or did GPT-5 just get trained on it? 🔥While some benchmarks show modest gains, GPT-5 is crushing WorkArena L2🔥 ➡️ 69.4% avg success vs. ~40% for next best🤯 ➡️ Complex tasks, up to 100 steps, 5–20 min for humans
Torsten Scholak retweeted
As #ICML2025 kicks off in Vancouver, our AI talent is being quietly pushed out. 🇨🇦 We've been waiting 28 months for permanent residency, but @CitImmCanada won’t budge. Please read and share our story facebook.com/share/p/1AwU2f… linkedin.com/posts/gbxhuang… #IRCC #AI #Immigration #AI
Nice release! Worth noting the MoE x Mamba gives coverage, not multiplicative speed-ups: * small batch: expert sparsity keeps latency low * medium-large batch: Mamba's KV-free scan scales while attention would choke Net: below dense latency across the board, but no compounding
Nice release! Worth noting the MoE x Mamba gives coverage, not multiplicative speed-ups: * small batch: expert sparsity keeps latency low * medium-large batch: Mamba's KV-free scan scales while attention would choke Net: below dense latency across the board, but no compounding
Torsten Scholak retweeted
Thanks @_akhaliq for sharing our work! Excited to present our next generation of SVG models, now using Reinforcement Learning from Rendering Feedback (RLRF). 🧠 We think we cracked SVG generalization with this one. Go read the paper! arxiv.org/abs/2505.20793 More details on…
Thanks @_akhaliq for sharing our work! Excited to present our next generation of SVG models, now using Reinforcement Learning from Rendering Feedback (RLRF). 🧠 We think we cracked SVG generalization with this one. Go read the paper! arxiv.org/abs/2505.20793 More details on… https://t.co/ynLbSLr0eH
Torsten Scholak retweeted
🚀 Excited to share that UI-Vision has been accepted at ICML 2025! 🎉 We have also released the UI-Vision grounding datasets. Test your agents on it now! 🚀 🤗 Dataset: huggingface.co/datasets/Servi… #ICML2025 #AI #DatasetRelease #Agents
🚀 Excited to share that UI-Vision has been accepted at ICML 2025! 🎉 We have also released the UI-Vision grounding datasets. Test your agents on it now! 🚀 🤗 Dataset: huggingface.co/datasets/Servi… #ICML2025 #AI #DatasetRelease #Agents
Torsten Scholak retweeted
🚀 Announced at #Knowledge25: @ServiceNow & @nvidia introduce Apriel Nemotron 15B. Apriel Nemotron 15B is a compact, cost-efficient AI model built with NVIDIA NeMo and trained on NVIDIA DGX Cloud. It delivers real-time responses, handles complex workflows, and scales across IT,…
Torsten Scholak retweeted
Together with @nvidia, we're launching a new class of intelligent AI agents. Our Apriel Nemotron 15B model, co-developed with NVIDIA, offers lower latency, reduced inference costs, and faster agentic AI. This partnership also brings a joint data flywheel architecture powered by…
Torsten Scholak retweeted
I am excited to open-source PipelineRL - a scalable async RL implementation with in-flight weight updates. Why wait until your bored GPUs finish all sequences? Just update the weights and continue inference! Code: github.com/ServiceNow/Pip… Blog: huggingface.co/blog/ServiceNo…
Torsten Scholak retweeted
AI folks in ServiceNow have been cooking. And they cooked a very delicious small 5B parameter cookie!
AI folks in ServiceNow have been cooking. And they cooked a very delicious small 5B parameter cookie!
Torsten Scholak retweeted
There isn’t that many newcomers in the SLM space and this one looks very interesting. MIT base models, new open source pretraining library with apparently significant efficiency gains.
There isn’t that many newcomers in the SLM space and this one looks very interesting. MIT base models, new open source pretraining library with apparently significant efficiency gains.
Torsten Scholak retweeted
Showing off Apriel-5B 🚀, an efficient and effective compact model yet. Congrats to the whole SLAM team led by @tscholak @carnaticfiddle 👏
Showing off Apriel-5B 🚀, an efficient and effective compact model yet. Congrats to the whole SLAM team led by @tscholak @carnaticfiddle 👏
Torsten Scholak retweeted
Some new work from the team!
Torsten Scholak retweeted
Exciting release from ServiceNow Research — introducing Apriel-5B, a compact and efficient open-source language model that targets the sweet spot between capability and efficiency.
Exciting release from ServiceNow Research — introducing Apriel-5B, a compact and efficient open-source language model that targets the sweet spot between capability and efficiency.
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