Generative AI Sucks: Meta’s Chief AI Scientist Calls For A Shift To Objective-Driven AI Dive into Yann LeCun's perspective on the shortcomings of #GenerativeAI and his advocacy for #Objective-Driven #AI, offering a #transformative approach. https://
forbes.com/sites/bernardm
arr/2024/04/12/generative-ai-sucks-metas-chief-ai-scientist-calls-for-a-shift-to-objective-driven-ai/
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MACHINE LEARNING
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LeCun Advocates Shift From Generative AI to Objective-Driven Approach
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IoT and Robotics Driving Advancements Together
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How #IoT And #Robotics Are Driving Advancements Together?
by @ONPASSIVE Read more: https://
buff.ly/3w13wmh #AI #BigData #MachineLearning #ArtificialIntelligence #Tech #Technology #Innovation #InternetofThings cc: @pbalakrishnarao @ravikikan @kuriharan -
Complete Metaverse Elements: Machine Learning and AI Technology
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The elements of the complete metaverse
by @antgrasso #MachineLearning #ArtificialIntelligence #Technology #NLP cc: @bigdata @yvesmulkers @kuriharan -
Deterministic Attention Heads Improve AI Model Capability
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I assure that I would be a lot more capable if I had more deterministic attention heads operating on a larger parameter space
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Emotions: Ancestral Foundation Models Encoded in Our Genetics
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Emotions: super distilled foundation models continuously trained & passed onto us by our ancestors, through genetics & evolution.
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Demystifying Artificial Intelligence: 20 AI Concepts Explained
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𝗗𝗲𝗺𝘆𝘀𝘁𝗶𝗳𝘆𝗶𝗻𝗴 #ArtificialIntelligence – 20 #AI Concepts explained #MachineLearning #ML #innovation #ChatGPT #chatbots #chatgpt4 #chatgpt3 #GenerativeAI #AIEthics Source Dirk Zee @Sharleneisenia @darshan_h_sheth @guidaautonoma @debashis_dutta @Eli_Krumova
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Machine Learning Model Deployment Guide and Best Practices
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#MachineLearning model deployment
by Murk Sindhya Memon @DataScienceDojo Read more: https://
buff.ly/3sm9LQw #DataScience #AI #BigData #ML #MI cc: @terenceleungsf @yvesmulkers @pascal_bornet -
Scalable streaming Transformers for infinite context with bounded resources
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Scalability to infinitely long context: Processes extremely long inputs in a streaming fashion, overcoming limitations of standard Transformers. Bounded memory and compute resources: Achieves high compression ratios while maintaining performance, super cost-effective. Who
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Google drops Infinite Context paper; it’s literally huge.
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Google drops “Infinite Context” paper: This is (literally) huge
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Edge Computing: Data Processing Mechanics and Applications
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The mechanics of how #Data is processed at the Edge
by @antgrasso #AI #BigData #MachineLearning #ML #MI #Digital #EdgeComputing cc: @ravikikan @pbalakrishnarao @chr1sa