Favorite The rise of contextual and semantic search has made ecommerce and retail businesses search straightforward for its consumers. Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. This enhances the overall user
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Shared by AWS Machine Learning April 4, 2024
Favorite Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models. SageMaker Studio provides all the tools you need to take your models from data preparation to experimentation to production while boosting your productivity.
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Shared by AWS Machine Learning April 4, 2024
Favorite Today we’re releasing our “AI Sprinters” report, outlining ways for developing countries to take advantage of AI’s potential. View Original Source (blog.google/technology/ai/) Here.
Favorite Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. It does so by covering the end-to-end ML workflow: whether you’re looking for powerful data preparation and AutoML, managed endpoint deployment, simplified MLOps capabilities, or the ability to configure foundation
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Shared by AWS Machine Learning April 3, 2024
Favorite This is a guest post co-written with Michael Feil at Gradient. Evaluating the performance of large language models (LLMs) is an important step of the pre-training and fine-tuning process before deployment. The faster and more frequent you’re able to validate performance, the higher the chances you’ll be able to
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Shared by AWS Machine Learning April 3, 2024
Favorite In 2023, AWS announced an expanded collaboration with Hugging Face to accelerate our customers’ generative artificial intelligence (AI) journey. Hugging Face, founded in 2016, is the premier AI platform with over 500,000 open source models and more than 100,000 datasets. Over the past year, we have partnered to make
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Shared by AWS Machine Learning April 3, 2024
Favorite The generative artificial intelligence (AI) revolution is in full swing, and customers of all sizes and across industries are taking advantage of this transformative technology to reshape their businesses. From reimagining workflows to make them more intuitive and easier to enhancing decision-making processes through rapid information synthesis, generative AI
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Shared by AWS Machine Learning April 3, 2024
Favorite March 27, 2024 Mr. Bertram LeeNational Telecommunications and Information Administration (NTIA)U.S. Department of Commerce1401 Constitution Avenue NWWashington, DC 20230 RE: [Docket Number 240216-0052] Dual Use Foundation Artificial Intelligence Models with Widely Available Model Weights Dear Mr. Lee: The Open Source Initiative (“OSI”) appreciates the opportunity to provide our views
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Shared by voicesofopensource April 2, 2024
Favorite This is a guest post co-written with Meta’s PyTorch team and is a continuation of Part 1 of this series, where we demonstrate the performance and ease of running PyTorch 2.0 on AWS. Machine learning (ML) research has proven that large language models (LLMs) trained with significantly large datasets
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Shared by AWS Machine Learning April 2, 2024
Favorite Seeking document reviewers for Pythia and OpenCV We are now in the process of reviewing legal documents to check the compatibility with the version 0.0.6 definition of open-source AI, specifically for Pythia and OpenCV. Click here to see the past activities of the four working groups To get involved,
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Shared by voicesofopensource April 1, 2024
Shared by AWS Machine Learning April 4, 2024
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