Favorite As organizations scale their generative AI workloads on Amazon Bedrock, operational visibility into inference performance and resource consumption becomes critical. Teams running latency-sensitive applications must understand how quickly models begin generating responses. Teams managing high-throughput workloads must understand how their requests consume quota so they can avoid unexpected throttling.
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Shared by AWS Machine Learning March 13, 2026
Favorite EAGLE is the state-of-the-art method for speculative decoding in large language model (LLM) inference, but its autoregressive drafting creates a hidden bottleneck: the more tokens that you speculate, the more sequential forward passes the drafter needs. Eventually those overhead eats into your gains. P-EAGLE removes this ceiling by generating
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Shared by AWS Machine Learning March 13, 2026
Favorite A new Google AI initiative aims to improve heart health outcomes for people living in remote Australian communities. View Original Source (blog.google/technology/ai/) Here.
Favorite Agentic AI isn’t a feature you turn on. It’s a shift in how work is defined, who does it, and how decisions get made. Most enterprises learn this the hard way. They launch pilots that stall the moment they hit real processes, systems, and governance. The pattern repeats: vague
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Shared by AWS Machine Learning March 12, 2026
Favorite Members Newsletter – March 2026 Dear OSI supporters, Every March, Open Education Week invites us to reflect on something that will feel familiar to everyone in this community: the idea that knowledge is most powerful when it is freely accessible, adaptable, and shared. It is a principle that open
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Shared by voicesofopensource March 11, 2026
Favorite This post is cowritten by David Stewart and Matthew Persons from Oumi. Fine-tuning open source large language models (LLMs) often stalls between experimentation and production. Training configurations, artifact management, and scalable deployment each require different tools, creating friction when moving from rapid experimentation to secure, enterprise-grade environments. In this
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Shared by AWS Machine Learning March 11, 2026
Favorite The adoption and implementation of generative AI inference has increased with organizations building more operational workloads that use AI capabilities in production at scale. To help customers achieve the scale of their generative AI applications, Amazon Bedrock offers cross-Region inference (CRIS) profiles. CRIS is a powerful feature that organizations
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Shared by AWS Machine Learning March 10, 2026
Favorite This post is cowritten with Abdullahi Olaoye, Curtice Lockhart, Nirmal Kumar Juluru from NVIDIA. We are excited to announce that NVIDIA’s Nemotron 3 Nano is now available as a fully managed and serverless model in Amazon Bedrock. This follows our earlier announcement at AWS re:Invent supporting NVIDIA Nemotron 2
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Shared by AWS Machine Learning March 10, 2026
Favorite Today we announced new beta features for Gemini in Sheets to help you create, organize and edit entire sheets, from basic tasks to complex data analysis — just describe … View Original Source (blog.google/technology/ai/) Here.
Favorite For more than 25 years, the Open Source Initiative (OSI) website has been a central reference point for Open Source licenses. Over that time, our site has evolved through multiple redesigns, content management systems, and infrastructure migrations. As a result, license pages accumulated a variety of URL formats, including
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Shared by voicesofopensource March 10, 2026
Shared by AWS Machine Learning March 13, 2026
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