AI isn’t magic. It’s a process. 8 steps:
define problem
collect/prepare data
choose model
train
evaluate
fine-tune
deploy
ensure ethics & safety Real value comes from running this loop well. #AI #MachineLearning #DataScience #ResponsibleAI
MACHINE LEARNING
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Eight-Step AI Process: From Problem Definition to Responsible Deployment
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Create HuggingFace organization to engage ML interns
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Create an org on HF with a good org card and we’ll unleash our ml-interns on it!
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Industrial AI Optimizes Physics Over User Experience
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Partner content with Siemens.
— Lucian Fogoros (@fogoros) 25 avril 2026
Consumer AI optimizes for user experience. Industrial AI optimizes for physics. Siemens brings industrial domain knowledge and the right technology stack together. Your centrifugal pump doesn't care about user interface design. #HM26 #sie_us pic.twitter.com/KKArMXj4L0Partner content with Siemens. Consumer AI optimizes for user experience. Industrial AI optimizes for physics. Siemens brings industrial domain knowledge and the right technology stack together. Your centrifugal pump doesn't care about user interface design. #HM26 #sie_us
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Train-to-Test Scaling: Optimizing AI Compute Budget for Inference
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Train-to-Test scaling explained: How to optimize your end-to-end #AI compute budget for inference
by @bendee983 @VentureBeat Learn more: https://
bit.ly/4u2teQg #ArtificialIntelligence #MachineLearning #ML -
Client-side OpenCV added to drone simulation for person detection
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✨ Added client-side OpenCV to my drone sim that watches the drone video feed in-game and tries to detect people, it's messy and wrong all the time (like real OpenCV running on a shitty radio connection)
— @levelsio (@levelsio) 25 avril 2026
It's starting to look pretty real and with multiplayer it's becoming… https://t.co/4tri2URFG3 pic.twitter.com/fKhWjrh4oGAdded client-side OpenCV to my drone sim that watches the drone video feed in-game and tries to detect people, it's messy and wrong all the time (like real OpenCV running on a shitty radio connection) It's starting to look pretty real and with multiplayer it's becoming
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DeepSeek V4 Pro: Undertrained with less intelligence density than V3.2
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DeepSeek V4 Pro, for how massive it is (1.6T Parameters), is quite undertrained (32T Tokens) Yes, undertrained It has less intelligence density than that of V3.2 which is like 1/3rd of its size
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HF Platform Becomes Hub for AI Agent Collaboration
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We built HF for AI builders collaboration, fun to see it's increasingly becoming the place for agent collaboration! This morning I'm sending my ml-intern to participate in the @OpenAI Parameter Golf challenge which goal is to train the best language model that fits in a 16MB
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Study: Perfect AI-human value alignment mathematically impossible
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Perfect alignment between #AI and human values is mathematically impossible, study says
by PNAS Nexus @TechXplore_com Learn more: https://
bit.ly/4e7EiqJ #MachineLearning #ArtificialIntelligence #ML -
Data Preparation Discipline Separates AI Experimenters from Producers
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The next 12 months will separate AI experimenters from AI producers. The difference won't be model choice – it'll be data preparation discipline.
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8 Types of LLMs for Next Generation AI Agents
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8 Types of #LLMs for Next Generation #AIAgents
by @PythonPr #GenAI #AI #ArtificialIntelligence #MachineLearning #ML