Workshop hosted by @PacktPublishing @PacktDataML "Building Production-Ready AI Applications: Hands-On Workshop" on June 6 (2.5 hours) Register here for 40% OFF (my discount code automatically applied at checkout): http://
eventbrite.co.uk/e/building-pro… Learn to build, deploy, and secure
MACHINE LEARNING
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Packt Workshop on Building Production-Ready AI Applications June 6
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Model Sovereignty: Multi-AI Voting for Manufacturing Accuracy
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Model sovereignty uses an independent accuracy layer for multi-element voting, letting different AI models compete to provide the most accurate answer for specific manufacturing tasks. No single provider lock-in. Partner content with Adlib. #adlib_iiot pic.twitter.com/VgKfgpXvcf
— Lucian Fogoros (@fogoros) 28 mai 2026Model sovereignty uses an independent accuracy layer for multi-element voting, letting different AI models compete to provide the most accurate answer for specific manufacturing tasks. No single provider lock-in. Partner content with Adlib. #adlib_iiot
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Deep Agents v0.6 Introduces ContextHubBackend for Agent File Management
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New in Deep Agents v0.6: ContextHubBackend A versioned home for the files that power agent behavior, backed by LangSmith Context Hub, enabling context improvements from one run to the next.
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LocateAnything: Vision-Language Detection Model for AI Agents
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This #CVPR2026 paper from our research team is trending #1 on @HuggingFace 🤗
— NVIDIA AI (@NVIDIAAI) 28 mai 2026
Meet LocateAnything: a vision-language detection model that rethinks bounding box prediction. For AI agents and robots, “seeing” is only useful if a model can pinpoint where something is fast enough to… pic.twitter.com/2OGaQnUCnXThis #CVPR2026 paper from our research team is trending #1 on @HuggingFace Meet LocateAnything: a vision-language detection model that rethinks bounding box prediction. For AI agents and robots, “seeing” is only useful if a model can pinpoint where something is fast enough to
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TaH: Skipping extra reasoning steps makes AI smarter
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Your AI model is thinking too much, and skipping a few steps makes it smarter! Tsinghua University, Infinigence AI, and Shanghai Jiao Tong University introduce Think-at-Hard (TaH). Instead of looping every token through extra reasoning, TaH uses a lightweight decider to skip
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Free Apartment Cleaning Service Collects Robot Training Data
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If you are in New York you can get your apartment cleaned for free.
— Robert Scoble (@Scobleizer) 28 mai 2026
Well, data will be collected to train robots of the future. https://t.co/kTrua8b12PIf you are in New York you can get your apartment cleaned for free. Well, data will be collected to train robots of the future.
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JAX GPU scaling and pipeline parallelism for training
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Yes. It’s not that we’ve discovered some magic bullet, but rather that JAX, or at least the open source version of it, is mostly optimized for small to medium-sized training runs on Google TPUs, whereas we need to massive training runs on Nvidia GPUs. Pipeline parallelism is
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AI Model Opus 4.8 Calibration and User Feedback Request
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We put a lot of work into calibrating thinking effort for Opus 4.8. As you're trying out the model, if you do run into any examples of it still over/under thinking, please flag it to us!
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ByteDance Open-Sources Capable Multimodal AI Model BAGEL
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ByteDance just open-sourced one of the most capable multimodal models out there.
— Chubby♨️ (@kimmonismus) 28 mai 2026
BAGEL does image generation, editing, style transfer, and visual understanding – all in a single 7B parameter model. Apache 2.0 licensed!
One model. No switching between specialized tools.
Amazing https://t.co/r4jj4QHTzMByteDance just open-sourced one of the most capable multimodal models out there. BAGEL does image generation, editing, style transfer, and visual understanding – all in a single 7B parameter model. Apache 2.0 licensed! One model. No switching between specialized tools.
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Opus 4.8 AI Model Release: Agentic Coding Boost, Faster, Cheaper Modes
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Opus 4.8 is live. Benchmarks especially significant jump in Agentic coding, but more important: „Fast mode is available for Opus 4.8. It's the same model at roughly 2.5x the speed, and we've made it three times cheaper than before.“