Favorite Giving supply chain teams direct access to the systems behind their decisions. Every supply chain generates constant signals: orders in approval, shifting lead times, slowing ports, drifting prices, disruptions. The problem isn’t scarce data. It’s the distance between the data and the decision-maker. Answering “which top-revenue SKUs are exposed
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Shared by AWS Machine Learning October 20, 2026
Favorite AI agents are most useful when they can act on the real work happening across your organization. Work management involves complex, cross-functional tasks such as updating project timelines, reassigning tasks, and surfacing status. AI agents can support you with these without anyone switching tools. Smartsheet, the work management platform
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Shared by AWS Machine Learning October 20, 2026
Favorite Multi-turn agentic workloads build on accumulated context as an agent reasons, invokes tools, and incorporates earlier results. With each new turn, the client resends the conversation history, including system instructions, prior prompts, tool results, and model responses, causing the growing context to be processed repeatedly. In Prefill-decode (P-D) disaggregation,
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Shared by AWS Machine Learning October 19, 2026
Favorite vLLM is an open-source inference and serving engine for large language models (LLMs). LLM inference has two distinct phases: prefill, which processes the input prompt and builds the key-value (KV) cache, and decode, which uses that cache to generate output one token at a time. These phases have different
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Shared by AWS Machine Learning October 19, 2026
Favorite As voice becomes a first-class modality for AI, Deepgram’s models span speech-to-text, text-to-speech, and voice agents. They now process quadrillions of audio tokens a year for more than 200,000 developers and 1,400 organizations. Customers use them through the Deepgram API or run them in their own environments, including on
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Shared by AWS Machine Learning October 19, 2026
Favorite On Oct 9, 2026 we announced the availability of TwelveLabs’ Pegasus 1.5 on Amazon Bedrock. Pegasus 1.5 is a video language model that turns long-form video into structured, timestamped metadata. You describe the moments that matter to your workflow, and the model returns every matching segment as JSON. Video
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Shared by AWS Machine Learning October 19, 2026
Favorite Members Newsletter – October 2026 Dear OSI community, The past few weeks took me from New York to Halifax to Prague, and I came home with a full notebook and a long list of follow-ups. At UN Digital Cooperation Day (part of the 81st UN General Assembly), I joined
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Shared by voicesofopensource October 19, 2026
Favorite Over the years, OSI’s work has expanded beyond the Open Source Definition and licensing to encompass policy and standards, research and education, and Open Source AI. The new website brings these areas into clearer focus, making it easier for the community and our partners to discover what we do
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Shared by voicesofopensource October 18, 2026
Favorite The North Star Every organization racing to deploy AI agents faces the same reckoning: an agent that demos beautifully can quietly degrade in production, and by the time a human notices, the trust is already broken. Where traditional software fails loudly, agents fail softly. They return an answer that
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Shared by AWS Machine Learning October 17, 2026
Favorite The Open Source Initiative (OSI) has teamed up again with Perforce Zend and OpenLogic, as well as the Eclipse Foundation, for the 2027 State of Open Source Survey. This annual survey, now in its sixth year, brings together perspectives from OSS developers, administrators, and IT leaders around the world.
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Shared by voicesofopensource October 16, 2026
Shared by AWS Machine Learning October 20, 2026
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