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A successful mission isn't about the launch. It's about what you learn and bring back. At #IBMTechXchange, we're offering the ability to recognize your skills with 75 certifications. Start gathering yours today and take your career to the next level: https://ibm.co/6047BJQu3
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🚀 New Model Launch: Granite 4.0 IBM's Granite 4.0 is the latest open-source small language model, built for fast inference, long-context understanding (tested on up to 128K tokens), and cost-efficient deployments. Multiple model sizes provide flexibility for different hardware and use cases. Learn more: https://lnkd.in/g3pp_7Fw
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IBM is back! They just joined Hugging Face Enterprise & released Granite 4.0 in open-source with a new hybrid Mamba/transformer architecture that reduces memory requirements without reducing accuracy much. This set of models are great for agentic workflows like tool calling, document analysis, RAG, especially in an enterprise setup 🚀 The "Micro" (3.4B) model can even run 100% locally in your browser on WebGPU, powered by 🤗 TransformersJS! 3B dense hybrid: https://lnkd.in/exabrV-t 3B MoE with 1B active: https://lnkd.in/e98GVG_5 32B MoE with 9B active: https://lnkd.in/eX4hUdVR 🗂️ Full Model collection: https://lnkd.in/efwqj939 🔗 In-browser demo: https://lnkd.in/ei_Pyqst
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IBM has launched Granite 4.0 - a new family of open weights language models ranging in size from 3B to 32B. Artificial Analysis was provided pre-release access, and our benchmarking shows Granite 4.0 H Small (32B/9B total/active parameters) scoring an Intelligence Index of 23, with a particular strength in token efficiency
Granite 4.0 is here. Our new open-source SLMs are live and built to address core challenges like restrictive content windows and massive resource requirements, all under Apache 2.0 license. Try them out on Hugging Face: https://ibm.biz/BdbxA8
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IBM becomes the first major open-source AI model developer to earn ISO 42001 certification: https://ibm.co/6044BJmes This recognition affirms our leadership in responsible AI, validating our commitment to safety, transparency, and governance.
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"How are you governing agents?" It's such a broad statement and I personally think that every use case is going to require it's own mini framework...that being said... ...once they're in prod, agents need to be monitored and manged. I've been thinking about this a lot lately - debating everyone who's talking about it. Not for the fun of it. I just don't think there's a one size fits all solution for every use case. You have to apply a bit of thinking to it (unlike me throwing all my problems at a LLM each night when I'm half asleep). Anyway, here's a quick crack at simple solutions I'm adding to my LLM workflows. It showcases: A. Baseline LLM prompting in Langflow B. Harmful prompting aka get me credit card numbers C. Blocking those prompts with a guard layer. What do think?
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IBM is doing the grand slam of trending (model, dataset & space) on Hugging Face for projects they either led (Docling) or contributed to (finepdfs). Is Document AI & OCR back in fashion?
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✨ First hackathon, first win! ✨ I’m thrilled to share that our team won 1st place at the Watsonx TechXchange pre-conference hackathon 🏆 I joined this competition mainly to learn and grow, and I couldn’t have hoped for better teammates than Paul Barbaste and Tristan Darrigol, who guided me every step of the way. A huge thank you to Olivier Oullier from Inclusive Brains, Julien FLOCH and the entire team at Wavestone and IBM for their mentorship and support! I’m excited to continue building my coding skills and exploring agentic AI, and I can’t wait for the TechXchange Conference in Orlando 🚀 #TechXchange #Hackathon #watsonx #GenerativeAI
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Wonderful video by my colleague, Zahra Ashktorab, explaining LLM-as-a-Judge. Please watch, and be sure to check out related research from her IBM team in collaboration with faculty and students from the University of Notre Dame as part of the Notre Dame-IBM Tech Ethics Lab. Video here: https://lnkd.in/etmtv75u Related work: https://lnkd.in/eGF4G4Kz Werner Geyer Diego Gomez-Zara Toby Jia-Jun Li Stay tuned for more videos like this in the coming weeks!