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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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Favorite Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. With Amazon Lex, you can implement an omnichannel strategy where customers engage via phone, websites, and messaging platforms. The bots can answer FAQs, provide self-service experiences, or triage customer requests before transferring
Read More Shared by AWS Machine Learning March 30, 2024
Favorite Posted by Lizao (Larry) Li, Software Engineer, and Rob Carver, Research Scientist, Google Research Accurate weather forecasts can have a direct impact on people’s lives, from helping make routine decisions, like what to pack for a day’s activities, to informing urgent actions, for example, protecting people in the face
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Shared by Google AI Technology March 29, 2024
Favorite Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl, C4, Wikipedia, and ArXiv. These datasets encompass a broad range of topics and domains. Although the resulting models yield amazingly good
Read More Shared by AWS Machine Learning March 29, 2024
Favorite Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, telecommunications, software as a service (SaaS), and even proprietary model providers—are using large language models (LLMs) to build applications like question and answering (QnA) chatbots, search engines, and knowledge bases. These
Read More Shared by AWS Machine Learning March 29, 2024
Favorite Posted by Urs Köster, Software Engineer, Google Research Time series problems are ubiquitous, from forecasting weather and traffic patterns to understanding economic trends. Bayesian approaches start with an assumption about the data’s patterns (prior probability), collecting evidence (e.g., new time series data), and continuously updating that assumption to form
Read More Shared by Google AI Technology March 28, 2024
Favorite Learn about the nonprofits joining our newest accelerator focused on generative AI. View Original Source (blog.google/technology/ai/) Here.
Favorite We’re sharing a few insights from a survey with nonprofits about how they’re using generative AI. View Original Source (blog.google/technology/ai/) Here.