Volume 231 Proceedings of Learning on Graphs Conference 2023 https://
proceedings.mlr.press/v231/ Is now available on PMLR.
MACHINE LEARNING
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Learning on Graphs Conference 2023 Proceedings Available on PMLR
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International Conference on Algorithmic Learning Theory 2024 Proceedings Published
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Volume 237 Proceedings of the International Conference on Algorithmic Learning Theory 2024 https://
proceedings.mlr.press/v237/ Is now available on PMLR -
AI Model Error Regarding Training Data Recitation and Bypass Method
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The description in the docs is inaccurate. The error code means it detected recitation of training text — and there’s lots of false positives for this, like famous integer sequences. Anecdotally streaming the response seems to bypass it.
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RNNs Making a Comeback: State-Space Models Analysis
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RNNs are not dead yet In fact, they are coming back with a vengeance recently. Very nice paper about “The Illusion of State in State-Space Models” (
https://
arxiv.org/abs/2404.08819) and thread -
Why Canada Remains an Unlikely Machine Learning Hub
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Per media reporting! And thus why Canada is an unlikely ML hub
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LLM Model Scaling: 7B to 8x22B Capability Comparisons
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Yeah I can believe that – but compared to each other I think 7B/8x7B/8x22B may have similar relative characteristics to the differences between Haiku/Sonnet/Opus
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Watson’s Jeopardy Victory Parallels Modern AI Language Models
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5 paras from @JohnMarkoff01
's Feb 16, 2011, NYT story on Watson when it won Jeopardy. Substitute ChatGPT, or similar, for Watson and one of many companies for IBM and it still reads pretty well. -
Moving AI from Prototype to Production: DataRobot Platform
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How do you move beyond prototyping to production with AI? DataRobot is the only AI platform providing a unified experience to build, operate, and govern both predictive and generative AI models. Hear directly from our users on @Gartner_inc Peer Insights:
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AI-Powered Code Reviews: Transforming Software Development Efficiency
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Code reviews are critical checkpoints when developing software and can take up a ton of time! Traditionally, they’ve been done by developers, who write over lines of code, hunting for defects and bugs. But the new solutions are being introduced with the help of AI to make the
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Comprehensive Guide to Robotics: Foundation and Pillars
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🚀 Blog-tastic Tuesdays 🚀https://t.co/0YLMwZC8QN
— Satya Mallick (@LearnOpenCV) 16 avril 2024
Explore the captivating field of robotics in our latest comprehensive guide. We will look into the motivation behind learning robotics and explore the four pillars that form the foundation of robotic automation.#robotics #ai… pic.twitter.com/nZxvp35zMrBlog-tastic Tuesdays https://
learnopencv.com/a-comprehensiv
e-guide-to-robotics/
… Explore the captivating field of robotics in our latest comprehensive guide. We will look into the motivation behind learning robotics and explore the four pillars that form the foundation of robotic automation. #robotics #ai