Carrying Open Collaboration into the Year Ahead

Favorite Members Newsletter – January 2026 Dear OSI supporters, The New Year brings both reflection and a forward look to the months ahead for OSI.  I can’t say I subscribe to the practice of making new year resolutions, but I will say for me it’s a time of deepening resolve

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Shared by voicesofopensource January 14, 2026

Announcing the winner of the Global AI Film Award

Favorite Over the past year, we’ve witnessed how creators globally have been using our AI models and tools to share their stories with the world. That’s why we launched the AI Fi… View Original Source (blog.google/technology/ai/) Here.

How Omada Health scaled patient care by fine-tuning Llama models on Amazon SageMaker AI

Favorite This post is co-written with Sunaina Kavi, AI/ML Product Manager at Omada Health. Omada Health, a longtime innovator in virtual healthcare delivery, launched a new nutrition experience in 2025, featuring OmadaSpark, an AI agent trained with robust clinical input that delivers real-time motivational interviewing and nutrition education. It was

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Shared by AWS Machine Learning January 13, 2026

Architecting TrueLook’s AI-powered construction safety system on Amazon SageMaker AI

Favorite This post is co-written by TrueLook and AWS. TrueLook is a construction camera and jobsite intelligence company that provides real-time visibility into construction projects. Its platform combines high-resolution time-lapse cameras, live video streaming, and AI-powered insights to help teams monitor progress, improve accountability, and reduce risk across the entire

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Shared by AWS Machine Learning January 10, 2026

Sentiment Analysis with Text and Audio Using AWS Generative AI Services: Approaches, Challenges, and Solutions

Favorite This post is co-written by Instituto de Ciência e Tecnologia Itaú (ICTi) and AWS. Sentiment analysis has grown increasingly important in modern enterprises, providing insights into customer opinions, satisfaction levels, and potential frustrations. As interactions occur largely through text (such as social media, chat applications, and ecommerce reviews) or

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Shared by AWS Machine Learning January 10, 2026

Accelerating LLM inference with post-training weight and activation using AWQ and GPTQ on Amazon SageMaker AI

Favorite Foundation models (FMs) and large language models (LLMs) have been rapidly scaling, often doubling in parameter count within months, leading to significant improvements in language understanding and generative capabilities. This rapid growth comes with steep costs: inference now requires enormous memory capacity, high-performance GPUs, and substantial energy consumption. This

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Shared by AWS Machine Learning January 10, 2026

Crossmodal search with Amazon Nova Multimodal Embeddings

Favorite Amazon Nova Multimodal Embeddings processes text, documents, images, video, and audio through a single model architecture. Available through Amazon Bedrock, the model converts different input modalities into numerical embeddings within the same vector space, supporting direct similarity calculations regardless of content type. We developed this unified model to reduce

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Shared by AWS Machine Learning January 10, 2026