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Favorite Artificial intelligence (AI) is a rapidly evolving field with the potential to improve and transform many aspects of society. In 2023, the pace of adoption of AI technologies has accelerated further with the development of powerful foundation models (FMs) and a resulting advancement in generative AI capabilities. At Amazon,
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Shared by AWS Machine Learning November 29, 2023
Favorite The current draft v. 0.0.3 of the Open Source AI Definition borrows wordings from the GNU Manifesto’s golden rule stating: If I like a program, I must be able to share it with others who like it. The GNU Manifesto The GNU Manifesto refers to “program” (not “AI system”),
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Shared by voicesofopensource November 28, 2023
Favorite Artificial intelligence (AI) continues to transform how we do business and serve our customers. AWS offers a range of pre-trained AI services that provide ready-to-use intelligence for your applications. In this post, we explore the new AI service capabilities and how they are enhanced using foundation models (FMs). We
Read More Shared by AWS Machine Learning November 28, 2023
Favorite This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. This is the third post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. In Part 1 and Part 2, we show how the Salesforce Data Cloud and Einstein Studio integration with
Read More Shared by AWS Machine Learning November 28, 2023
Favorite Generative artificial intelligence (generative AI) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts of clean, structured training data to reach their full potential. Most real-world data exists in unstructured formats like PDFs, which requires preprocessing before it can
Read More Shared by AWS Machine Learning November 28, 2023
Favorite Today, Amazon SageMaker launches a new version (0.25.0) of Large Model Inference (LMI) Deep Learning Containers (DLCs) and adds support for NVIDIA’s TensorRT-LLM Library. With these upgrades, you can effortlessly access state-of-the-art tooling to optimize large language models (LLMs) on SageMaker and achieve price-performance benefits – Amazon SageMaker LMI
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Favorite Amazon Elastic Compute Cloud (Amazon EC2) accelerated computing portfolio offers the broadest choice of accelerators to power your artificial intelligence (AI), machine learning (ML), graphics, and high performance computing (HPC) workloads. We are excited to announce the expansion of this portfolio with three new instances featuring the latest NVIDIA
Read More Shared by AWS Machine Learning November 28, 2023
Favorite Amazon Personalize is excited to announce the new Next Best Action (aws-next-best-action) recipe to help you determine the best actions to suggest to your individual users that will enable you to increase brand loyalty and conversion. Amazon Personalize is a fully managed machine learning (ML) service that makes it
Read More Shared by AWS Machine Learning November 27, 2023
Favorite Today, we are excited to announce three launches that will help you enhance personalized customer experiences using Amazon Personalize and generative AI. Whether you’re looking for a managed solution or build your own, you can use these new capabilities to power your journey. Amazon Personalize is a fully managed
Read More Shared by AWS Machine Learning November 27, 2023
Favorite Amazon Transcribe is a fully managed automatic speech recognition (ASR) service that makes it straightforward for you to add speech-to-text capabilities to your applications. Today, we are happy to announce a next-generation multi-billion parameter speech foundation model-powered system that expands automatic speech recognition to over 100 languages. In this
Read More Shared by AWS Machine Learning November 27, 2023