Favorite Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. When using generative AI for question answering, RAG enables LLMs to answer questions with the most
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Shared by AWS Machine Learning November 21, 2023
Favorite AI has the potential to mitigate 5-10% of global greenhouse gas emissions according to our new report with Boston Consulting Group. View Original Source (blog.google/technology/ai/) Here.
Favorite From enhancing the conversational experience to agent assistance, there are plenty of ways that generative artificial intelligence (AI) and foundation models (FMs) can help deliver faster, better support. With the increasing availability and diversity of FMs, it’s difficult to experiment and keep up-to-date with the latest model versions. Amazon
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Shared by AWS Machine Learning November 18, 2023
Favorite Generative AI models have the potential to revolutionize enterprise operations, but businesses must carefully consider how to harness their power while overcoming challenges such as safeguarding data and ensuring the quality of AI-generated content. The Retrieval-Augmented Generation (RAG) framework augments prompts with external data from multiple sources, such as
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Shared by AWS Machine Learning November 18, 2023
Favorite Amazon Interactive Video Service (Amazon IVS) is a managed live streaming solution that is designed to provide a quick and straightforward setup to let you build interactive video experiences and handles interactive video content from ingestion to delivery. With the increased usage of live streaming, the need for effective
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Shared by AWS Machine Learning November 18, 2023
Favorite Posted by Anoop Sinha, Research Director, Technology & Society, and Yossi Matias, Vice President, Google Research The first of Google’s AI Principles is to “Be socially beneficial.” As AI practitioners, we’re inspired by the transformative potential of AI technologies to benefit society and our shared environment at a scale
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Shared by Google AI Technology November 17, 2023
Favorite Photo by Scott Webb on Unsplash Determining the value of housing is a classic example of using machine learning (ML). A significant influence was made by Harrison and Rubinfeld (1978), who published a groundbreaking paper and dataset that became known informally as the Boston housing dataset. This seminal work
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Shared by AWS Machine Learning November 17, 2023
Favorite Whisper is an Automatic Speech Recognition (ASR) model that has been trained using 680,000 hours of supervised data from the web, encompassing a range of languages and tasks. One of its limitations is the low-performance on low-resource languages such as Marathi language and Dravidian languages, which can be remediated
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Shared by AWS Machine Learning November 17, 2023
Favorite This is a joint blog with AWS and Philips. Philips is a health technology company focused on improving people’s lives through meaningful innovation. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to
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Shared by AWS Machine Learning November 17, 2023
Favorite Posted by Kathy Meier-Hellstern, Building Responsible AI & Data Systems, Director, Google Research The Responsible AI and Human-Centered Technology (RAI-HCT) team within Google Research is committed to advancing the theory and practice of responsible human-centered AI through a lens of culturally-aware research, to meet the needs of billions of
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Shared by Google AI Technology November 16, 2023
Shared by AWS Machine Learning November 21, 2023
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