An edgy post… 1 trillion edges, in fact! https://t.co/ymbl16TL2X
— Jeff Dean (@JeffDean) 1 mai 2024
An edgy post… 1 trillion edges, in fact!
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An edgy post… 1 trillion edges, in fact! https://t.co/ymbl16TL2X
— Jeff Dean (@JeffDean) 1 mai 2024
An edgy post… 1 trillion edges, in fact!
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I enjoyed this story about the fascinating and important work @LakeBrenden of NYU is doing on infant learning and AI.
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Several people told me to add "open source performance is still lagging compared to commercial models". Is there any fundamental reason that stops open source models from catching up? The biggest reason I can think of is what @soumithchintala told me: open source models don't

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Snorkel AI research series! Dyah Adilla walked us through the finer points of ROBOSHOT, an approach to squeeze better performance out of foundation models without fine tuning. Adila's talk: https://
buff.ly/3UqgVgv Next webinar: https://
buff.ly/3JFtOhR

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Our awesome community has built a course on computer vision Start learning at https://
huggingface.co/learn Make a submission to get certified
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🚀 New Blog Alert 🚀https://t.co/APFmuTsB6F
— Satya Mallick (@LearnOpenCV) 1 mai 2024
Our latest blog post unveils the power of SDXL inpainting—where cutting-edge AI meets photo restoration. Discover how to enhance and reimagine your cherished memories effortlessly!#sdxl #inpainting #computervision #deeplearning #ai pic.twitter.com/Phiad92GzL
New Blog Alert https://
learnopencv.com/sdxl-inpaintin
g/
… Our latest blog post unveils the power of SDXL inpainting—where cutting-edge AI meets photo restoration. Discover how to enhance and reimagine your cherished memories effortlessly! #sdxl #inpainting #computervision #deeplearning #ai
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New Tutorial: Fine-tune #Llama3 to Automate Customer Service Learn how you to efficiently #finetune Meta Llama-3 to automatically classify customer support issues and generate a response. Notebook included!
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The Asteroid Institute @b612foundation used new computations on old data, collected without consideration for finding asteroids, to identify 27,500 new asteroids.
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Why would they do that though? The state of the art in tokenizers has moved on enormously since 2019, why go back to an old design?

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The multimodal capabilities of the base Gemini models shine in evaluation of multimodal medical tasks in Med-Gemini, showing state-of-the-art results in 5 of the 8 benchmarks we examined.