The original FNO paper gives one specific architecture, the JMLR paper provides more of a theoretical foundation, and the nature perspective article gives a more general view of the field. https://
rdcu.be/dD6LO
MACHINE LEARNING
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Fourier Neural Operators: Architecture, Theory, and Field Overview
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Next Action Prediction: Emerging AI Research Direction
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Next action prediction is an exciting research direction we've been pursuing!
— Cursor (@cursor_ai) 27 mai 2024
And many more to solve here:https://t.co/iH7Ppsw7R7 https://t.co/yhRZQtueTxNext action prediction is an exciting research direction we've been pursuing! And many more to solve here: https://
anysphere.inc/blog/problems-
2024
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ICLR Episode Part 1 Released, Preparing for AI.Engineer Conference
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ICLR episode part 1 just shipped! technically still in time for the long weekend haha
— swyx 🐣 (@swyx) 27 mai 2024
on a meta level it’s been great studying all the big ML conferences in prep for @aiDotEngineer next month. Lots of good ideas for running >5000 person affairs with something for everyone. Any… https://t.co/kiKBcJiQe6 pic.twitter.com/6h91b4D0dXICLR episode part 1 just shipped! technically still in time for the long weekend haha on a meta level it’s been great studying all the big ML conferences in prep for @aiDotEngineer next month. Lots of good ideas for running >5000 person affairs with something for everyone. Any
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ICLR Paper Shows Code Improves LLM Agent Actions
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ICLR Paper 'Executable Code Actions Elicit Better LLM Agents' shows when formulating Agent actions, 𝗖𝗼𝗱𝗲 𝗶𝘀 𝗯𝗲𝘁𝘁𝗲𝗿 than JSON or text for both 𝗰𝗼𝗻𝗰𝗶𝘀𝗲𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲. This confirms our choice of using Code in Transformers Agents!
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AI Model Performance Regression Discussed in Technical Community
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Yeah it's broken, the model even recovered the MMLU loss
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Probabilistic Deep Learning Course TensorFlow Imperial College
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3. Probabalistic Deep Learning* with TensorFlow and Imperial College London on Coursera –
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Advanced Google Courses on Encoder-Decoder and Attention Mechanisms
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Intermediate/Advanced Level Courses: 1. Encoder – Decoder Architecture with Google* on Coursera – https://
coursera.org/learn/encoder-
decoder-architecture
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Master GenAI and Machine Learning Skills to Stay Ahead
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Generative AI is EVERYWHERE right now. It is absolutely important to learn new skills to get ahead of the curve in the field of GenAI and Machine learning Find out best courses in the field
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Stereo Vision and Disparity Maps for Advanced Driver Assistance Systems
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Video Alert!
— Satya Mallick (@LearnOpenCV) 27 mai 2024
Discover how stereo vision captures high-resolution images from dual viewpoints and calculates disparity maps to enhance ADAS capabilities. Learn the workflow, training procedures, and practical benefits of using the STereo TRansformer model with the KITTI Stereo… pic.twitter.com/NiELN9RspEAlert! Discover how stereo vision captures high-resolution images from dual viewpoints and calculates disparity maps to enhance ADAS capabilities. Learn the workflow, training procedures, and practical benefits of using the STereo TRansformer model with the KITTI Stereo
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UniReps Workshop Proceedings Volume 243 Now Available on PMLR
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Volume 243 https://
proceedings.mlr.press/v243 Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models Is now available on PMLR