Favorite Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With AWS generative AI services like Amazon Bedrock, developers can create systems that expertly manage and respond to user requests. Amazon Bedrock is a fully managed
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Shared by AWS Machine Learning April 25, 2024
Favorite Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with
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Shared by AWS Machine Learning April 24, 2024
Favorite We introduced Amazon Bedrock to the world a little over a year ago, delivering an entirely new way to build generative artificial intelligence (AI) applications. With the broadest selection of first- and third-party foundation models (FMs) as well as user-friendly capabilities, Amazon Bedrock is the fastest and easiest way
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Shared by AWS Machine Learning April 24, 2024
Favorite We are excited to announce two new capabilities in Amazon SageMaker Studio that will accelerate iterative development for machine learning (ML) practitioners: Local Mode and Docker support. ML model development often involves slow iteration cycles as developers switch between coding, training, and deployment. Each step requires waiting for remote
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Shared by AWS Machine Learning April 24, 2024
Favorite With version 0.0.7 of the Open Source AI Definition just published, we are getting very close to a release candidate version in June, as planned. We’ve covered a lot of ground since FOSDEM 2024, where we presented draft 0.0.4. This month we presented at Open Source Summit North America
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Shared by voicesofopensource April 23, 2024
Favorite Organizations are facing ever-increasing requirements for sustainability goals alongside environmental, social, and governance (ESG) practices. A Gartner, Inc. survey revealed that 87 percent of business leaders expect to increase their organization’s investment in sustainability over the next years. This post serves as a starting point for any executive seeking
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Shared by AWS Machine Learning April 23, 2024
Favorite Amazon SageMaker HyperPod is purpose-built to accelerate foundation model (FM) training, removing the undifferentiated heavy lifting involved in managing and optimizing a large training compute cluster. With SageMaker HyperPod, you can train FMs for weeks and months without disruption. Typically, HyperPod clusters are used by multiple users: machine learning
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Shared by AWS Machine Learning April 23, 2024
Favorite Comments on the forum A user added in the forum that there is an issue as traditional copyright protection might not apply to weight models because they are essentially mathematical calculations. “ licensing them through any kind of copyright license will not be enforceable !! and this means that
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Shared by voicesofopensource April 22, 2024
Favorite This is a guest post co-written with the leadership team of Iambic Therapeutics. Iambic Therapeutics is a drug discovery startup with a mission to create innovative AI-driven technologies to bring better medicines to cancer patients, faster. Our advanced generative and predictive artificial intelligence (AI) tools enable us to search
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Shared by AWS Machine Learning April 20, 2024
Favorite In Part 1 of this series, we presented a solution that used the Amazon Titan Multimodal Embeddings model to convert individual slides from a slide deck into embeddings. We stored the embeddings in a vector database and then used the Large Language-and-Vision Assistant (LLaVA 1.5-7b) model to generate text
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Shared by AWS Machine Learning April 20, 2024
Shared by AWS Machine Learning April 25, 2024
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