Favorite Google Classroom launched 10 years ago. Here, teachers and Google employees who worked on the project reflect on how it’s changed. View Original Source (blog.google/technology/ai/) Here.
Favorite The Open Source Initiative (OSI) is running a blog series to introduce some of the people who have been actively involved in the Open Source AI Definition (OSAID) co-design process. The co-design methodology allows for the integration of diverging perspectives into one just, cohesive and feasible standard. Support and
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Shared by voicesofopensource September 17, 2024
Favorite The latest C2PA provenance technology aims to help people better understand how a particular piece of content was created and modified over time. View Original Source (blog.google/technology/ai/) Here.
Favorite This post is co-written with Pradeep Prabhakaran from Cohere. Retrieval Augmented Generation (RAG) is a powerful technique that can help enterprises develop generative artificial intelligence (AI) apps that integrate real-time data and enable rich, interactive conversations using proprietary data. RAG allows these AI applications to tap into external, reliable
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Shared by AWS Machine Learning September 17, 2024
Favorite The clustered regularly interspaced short palindromic repeat (CRISPR) technology holds the promise to revolutionize gene editing technologies, which is transformative to the way we understand and treat diseases. This technique is based in a natural mechanism found in bacteria that allows a protein coupled to a single guide RNA
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Shared by AWS Machine Learning September 17, 2024
Favorite Week 37 summary Endorse the Open Source AI Definition OSI invites individuals and organizations to endorse the Open Source AI Definition (OSAID). Endorsers will have their name and affiliation listed in the press release for Release Candidate 1 (RC1), which is expected to be finalized by the end of
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Shared by voicesofopensource September 16, 2024
Favorite FireSat is a new global satellite constellation designed to detect and track wildfires the size of a classroom within 20 minutes. View Original Source (blog.google/technology/ai/) Here.
Favorite Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and confidently build, train, and deploy ML models into a production-ready hosted environment. SageMaker provides a broad selection of ML infrastructure and model deployment options to help meet your ML inference
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Shared by AWS Machine Learning September 14, 2024
Favorite Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. With the power of intelligent agents, you can simplify these challenges. In this post,
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Shared by AWS Machine Learning September 14, 2024
Favorite Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging. In this post, we explore a solution that uses
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Shared by AWS Machine Learning September 14, 2024