SynthLabs @synth_labs
Scaling Up Good Synthetic Reasoning We're hiring! ➡️ https://t.co/Gqtk6KrIy6 / DM 💬 @NathanThinks SynthLabs.ai Joined May 2022-
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the future is about smart tokens
What if models could learn which problems _deserve_ deep thinking? No labels. Just let the model discover difficulty through its own performance during training. Instead of burning compute 🔥💸 on trivial problems, it allocates 5x more on problems that actually need it ↓
What if models could learn which problems _deserve_ deep thinking? No labels. Just let the model discover difficulty through its own performance during training. Instead of burning compute 🔥💸 on trivial problems, it allocates 5x more on problems that actually need it ↓
Generative Reward Models impact compounds daily. way stronger interest now than when we published last fall 👇 many excellent recent extensions—cool seeing where researchers take GenRM
Generative Reward Models impact compounds daily. way stronger interest now than when we published last fall 👇 many excellent recent extensions—cool seeing where researchers take GenRM https://t.co/SCMWoq0XiV
btw we have ongoing research on this front! we're open-science, pro-publication, and love collaboration. want to push this frontier forward? we're growing our SF team & always open to research partners—reach out, my DMs are open 📩
btw we have ongoing research on this front! we're open-science, pro-publication, and love collaboration. want to push this frontier forward? we're growing our SF team & always open to research partners—reach out, my DMs are open 📩
Read how @synth_labs, a startup developing AI solutions tailored for logical reasoning, is advancing AI post-training with our @tractoai: nebius.com/customer-stori… 🔹 Goal: Develop an ML system that empowers reasoning models to surpass pattern matching and implement sophisticated…
btw, random fun fact we pointed out months ago: the only MATH example @OpenAI published with o1 announcement included an unsubstantiated assumption 😬
btw, random fun fact we pointed out months ago: the only MATH example @OpenAI published with o1 announcement included an unsubstantiated assumption 😬 https://t.co/cRVY1atlUT
The final stop in our meetup series will be in San Francisco! 🌁 nebius.com/events/nebius-… Join us at Convene 100 Stockton near Union Square on Thursday, March 13, for a deep dive into our AI cloud. Our developers, AI R&D engineers and architects will share insights with the tech…
Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models Author's Explanation: x.com/synth_labs/sta… Overview: Big-Math, a dataset of over 250,000 high-quality math questions with verifiable answers, is purposefully designed for…
Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models Author's Explanation: x.com/synth_labs/sta… Overview: Big-Math, a dataset of over 250,000 high-quality math questions with verifiable answers, is purposefully designed for… https://t.co/PT4kcQEFrB
Big-Math: Big-Math: Massive Math Dataset for RL Training - 10x larger than GSM8k/MATH - 3 core properties: uniquely verifiable, open-ended, closed-form - Human-validated 90%+ precision filters - Difficulty metrics for curriculum learning

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