ReAct is really popular. Here's an example from CrewAI, which uses ReAct to let LLM think through problems and use tools to act on the world.
MACHINE LEARNING
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ReasonMed: 370k Medical Reasoning Dataset Advances Clinical AI
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ReasonMed: the largest medical reasoning dataset, advancing LLM performance in clinical QA. Comprising 370k curated examples distilled from 1.75M reasoning paths, ReasonMed is built through a multi-agent EMD (easy–medium–difficult) pipeline with generation, verification, and an
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Prize Recognizes Foundational AI Work: Data, Compute, Algorithms
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I love that the prize recognizes foundational work in all 3 pillars of AI (data, compute, algorithms), congratulations Fei-Fei!!
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Accelerate GPU Training in Colab with TPU Runtime and steps_per_execution
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If you're using Colab and you feel like training your model on GPU is slow, switch to the TPU runtime and tune the "steps_per_execution" parameter in model.compile() (higher = more work being done on device before moving back to host RAM) Can often see a 4-5x speedup.
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Diffusion Models for Language: Image-Only Input Output Approach
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Side quest: Diffusion model but instead image only input/output but for language modeling.
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Theory from Experimentation: The Role of Data in Deep Learning Research
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It's closer to the other way around — I arrived at these ideas by doing experimental deep learning research and trying to make sense of my results. Theorizing requires data. And once you have the theory you must test it — which is why I made ARC (an experimental test) and
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PyTorch Contributor Recognized for Framework Growth
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I hope your skin keeps glowing because of PyTorch 😀
jk jk.
You did more to help PyTorch's growth, and then to help course-correct PyTorch several times than you realize. Thanks for your ongoing service. I hope you continue using it for the next like 30 years, even after we get -
PyTorch Framework Transition: Pleasant Developer Experience
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Great run Soumith! Of all the deep learning framework transitions I've been through where I re-wrote ~all of my code (matlab -> caffe -> numpy -> torch -> pytorch), the PyTorch one was most pleasant and now significantly longest lasting. It hit a jackpot of the time in the
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Cool Algorithm Trick for AI IoT and Digital Transformation
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Cool Algorithm Trick ✨@InterestingSTEM #AI #IoT #5G #DigitalTransformation #AI #IoT #CES2026
— Harold Sinnott #MWC26 (@HaroldSinnott) 6 novembre 2025
pic.twitter.com/BcUuevLP9FCool Algorithm Trick @InterestingSTEM #AI #IoT #5G #DigitalTransformation #AI #IoT #CES2026
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Start Your Next Legendary Streak with PyTorch
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maybe you gotta start your next legendary streak… on @PyTorch