Favorite Generative artificial intelligence (AI) models have opened up new possibilities for automating and enhancing software development workflows. Specifically, the emergent capability for generative models to produce code based on natural language prompts has opened many doors to how developers and DevOps professionals approach their work and improve their efficiency.
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Shared by AWS Machine Learning August 6, 2024
Favorite With last month’s blog, I started a series of posts that highlight the key factors that are driving customers to choose Amazon Bedrock. I explored how Bedrock enables customers to build a secure, compliant foundation for generative AI applications. Now I’d like to turn to a slightly more technical,
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Shared by AWS Machine Learning August 6, 2024
Favorite The software supply chain just gained some transparency thanks to an integration of the Open Source Initiative (OSI) project, ClearlyDefined, into GUAC (Graph for Understanding Artifact Composition), an OpenSSF project from the Linux Foundation. GUAC provides a comprehensive mapping of software packages, dependencies, vulnerabilities, attestations, and more, allowing organizations
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Shared by voicesofopensource August 6, 2024
Favorite Google for Startups AI Academy: American Infrastructure provides mentorship, training, and resources to help founders scale solutions and benefit communities. View Original Source (blog.google/technology/ai/) Here.
Favorite Information retrieval systems have powered the information age through their ability to crawl and sift through massive amounts of data and quickly return accurate and relevant results. These systems, such as search engines and databases, typically work by indexing on keywords and fields contained in data files. However, much
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Shared by AWS Machine Learning August 5, 2024
Favorite In recent years, we have seen a big increase in the size of large language models (LLMs) used to solve natural language processing (NLP) tasks such as question answering and text summarization. Larger models with more parameters, which are in the order of hundreds of billions at the time
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Shared by AWS Machine Learning August 5, 2024
Favorite Retrieval Augmented Generation (RAG) is a state-of-the-art approach to building question answering systems that combines the strengths of retrieval and foundation models (FMs). RAG models first retrieve relevant information from a large corpus of text and then use a FM to synthesize an answer based on the retrieved information.
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Shared by AWS Machine Learning August 5, 2024
Favorite This blog is part of the series, Generative AI and AI/ML in Capital Markets and Financial Services. Company earnings calls are crucial events that provide transparency into a company’s financial health and prospects. Earnings reports detail a firm’s financials over a specific period, including revenue, net income, earnings per
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Shared by AWS Machine Learning August 2, 2024
Favorite GraphStorm is a low-code enterprise graph machine learning (GML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which
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Shared by AWS Machine Learning August 2, 2024
Favorite This is a guest post co-written with Vicente Cruz Mínguez, Head of Data and Advanced Analytics at Cepsa Química, and Marcos Fernández Díaz, Senior Data Scientist at Keepler. Generative artificial intelligence (AI) is rapidly emerging as a transformative force, poised to disrupt and reshape businesses of all sizes and
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Shared by AWS Machine Learning August 2, 2024
Shared by AWS Machine Learning August 6, 2024
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