¡NUEVO VIDEO! Aunque lo cubrimos en directo, me quedé con ganas de analizar en profundidad el anuncio de GPT-4o por parte de OpenAI. El que es uno de los grandes avances de este año… ¿Qué es? ¿Cómo funciona? ¿Qué futuro nos propone OpenAI? Ya tenéis el análisis 🙂
TECHNOLOGY
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Language Models Are Not AI: Clarifying the Terminology
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1. We were NOT talking about "AI". That's a paper about language models, and even though other people are (now) talking about LLMs as if they were AI, we weren't and never would. >>
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Multimodal Interfaces Enhancing Natural Human-Computer Interaction
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Multimodal interfaces enhance tech interactions by combining voice, touch, and gestures, offering intuitive communication. Complex in design, they promise to make future digital experiences more natural and accessible, blending human and computer languages. Microblog @antgrasso
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3D-Printed Electric Car Prototype Showcases Futuristic Manufacturing
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This #futuristic electric car prototype was entirely #3D printed!
— Amitav Bhattacharjee (@bamitav) 2 juin 2024
pic.twitter.com/5ZxxvcmBHp#EV @devaang @SourabhSKatoch @wil_bielert @HsrYueli @faustospain @Whats_AI @kaifulee @demishassabis @marek_rosa @AndrewYNg @BernardMarr @CurieuxExplorer @LavaletteAstrid @andresvilarinoThis #futuristic electric car prototype was entirely #3D printed! #EV @devaang @SourabhSKatoch @wil_bielert @HsrYueli @faustospain @Whats_AI @kaifulee @demishassabis @marek_rosa @AndrewYNg @BernardMarr @CurieuxExplorer @LavaletteAstrid @andresvilarino
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U-Net Semantic Segmentation Library Released
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How it works Internally it uses a U-Net based foreground/background semantic segmentation and yields the post processed results. If you try it, library would download the trained model first. Fine the code here:
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Attention as RNN: Parallel Training with Constant Memory Inference
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6/ Attention as an RNN – presents a new attention mechanism that can be trained in parallel (like Transformers) and be updated efficiently with new tokens requiring constant memory usage for inferences (like RNNs).
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Contextual Position Encoding: New Method for Transformer Models
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1/ Contextual Position Encoding – proposes a new position encoding method, CoPE, to enable the position to be conditioned on context by incrementing position only on certain tokens…
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Jensen Huang keynote reveals AI driving new industrial revolution
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Watch our CEO Jensen Huang's live keynote at #COMPUTEX2024. Discover how the era of #AI is driving a new industrial revolution across the globe.
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Essential Python Libraries for Data Scientists and ML Engineers
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#Python Libraries Data Scientists Should Know! @kdnuggets #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #Linux #Programming #Coding #100DaysofCode https://
geni.us/Python_Know_KD