It's incredible how quickly you can go from an idea to a fully-trained model with this system. And the resulting models are really good! The grammar model in the demo video works really well, yet it was trained for just minutes, and was only 1.5B params 🙂
MACHINE LEARNING
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AutoRL: Train AI Models for Any Task via GitHub
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If you'd like to try it or contribute, check out the Github repo and notebook: https://
github.com/OpenPipe/ART/t
ree/auto-rl?tab=readme-ov-file#-autorl-train-models-for-any-task
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AutoRL: Automated Reinforcement Learning for Model Generation
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How AutoRL works, in a nutshell: – The user describes the model they want
Ex: "A model that detects spelling and grammar errors" – OSS models generate a system prompt that will be used a) to generate, and b) for RULER to rank outputs – We generate input data, and RL a model! -
Test-of-Time Award Paper on Neural Networks Research
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Link to our paper in 02015: https://
arxiv.org/abs/1508.04025. and slide deck of my test-of-time award talk here: https://
drive.google.com/file/d/15SeWBS
iRjQlOBwGz65dO2SuxL6N58Lro/view?usp=sharing
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Attention Mechanism Paper Wins Test-of-Time Award
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It’s my great honor to have just received the test-of-time award at #ACL2025 from @aclmeeting for our paper “Effective Approaches to Attention-based Neural Machine Translation” (joint work with @hyhieu226 and @chrmanning at EMNLP 2015). It’s the immediate second “attention”
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Learning on Graphs 2024 Proceedings Published on PMLR
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Volume 269 https://
proceedings.mlr.press/v269/ Proceedings of Learning on Graphs 2024 Is now available on PMLR. -
GEPA: Reflective Prompt Evolution Outperforms Reinforcement Learning
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GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning Agrawal et al.: https://
arxiv.org/abs/2507.19457 #ArtificialIntelligence #DeepLearning #MachineLearning -
Researchers: Automating Tedious Data Extraction and Management Tasks
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— Kirk Borne (@KirkDBorne) 30 juillet 2025
Are you a researcher?
If so, I am sure you love research and the joy of discovery, but you probably don't love (too much) all of the tasks that go along with research: extracting structured data from unstructured documents (e.g., PDFs, webpages), data management, integrating… pic.twitter.com/5Q2rmu8Qdc2/
Are you a researcher? If so, I am sure you love research and the joy of discovery, but you probably don't love (too much) all of the tasks that go along with research: extracting structured data from unstructured documents (e.g., PDFs, webpages), data management, integrating -
Reinforcement Learning Enhances Discrete Autoregressive Image Generation Models
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X-Omni Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again
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Generative AI’s Mission to Explore Strange New Worlds
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Generative AI's Mission to Explore Strange New Worlds #AI #AIio #AIInnovation #ML #DataScience #Futureofwork @timnitgebru @oriolvinyalsml @ceobillionaire @soumithchintala @waitin4agi_ @sallyeaves @bernardmarr http://
ow.ly/mxyF30sOj64