Favorite This post is co-written with Jayadeep Pabbisetty, Sr. Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. Model developers often work together in developing
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Shared by AWS Machine Learning January 11, 2024
Favorite A new partnership between Victoria’s Secret & Company and Google Cloud uses AI and generative AI to make online shopping more personalized and inclusive. View Original Source (blog.google/technology/ai/) Here.
Favorite With the rapid adoption of generative AI applications, there is a need for these applications to respond in time to reduce the perceived latency with higher throughput. Foundation models (FMs) are often pre-trained on vast corpora of data with parameters ranging in scale of millions to billions and beyond.
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Shared by AWS Machine Learning January 10, 2024
Favorite The Open Source Initiative published today a new report that looks at the history of the business practice to delay releasing their code under freedom-respecting licenses. Since the early days of the Open Source movement, companies have experimented with finding a balance between granting their users the basic freedoms
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Shared by voicesofopensource January 10, 2024
Favorite AWS customers in healthcare, financial services, the public sector, and other industries store billions of documents as images or PDFs in Amazon Simple Storage Service (Amazon S3). However, they’re unable to gain insights such as using the information locked in the documents for large language models (LLMs) or search
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Shared by AWS Machine Learning January 9, 2024
Favorite Amazon Q is a new generative AI-powered application that helps users get work done. Amazon Q can become your tailored business expert and let you discover content, brainstorm ideas, or create summaries using your company’s data safely and securely. You can use Amazon Q to have conversations, solve problems,
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Shared by AWS Machine Learning January 9, 2024
Favorite Posted by Ayça Çakmakli, UX Lead, Google Research, Responsible AI and Human Centered Technology Team Google’s Responsible AI User Experience (Responsible AI UX) team is a product-minded team embedded within Google Research. This unique positioning requires us to apply responsible AI development practices to our user-centered user experience (UX)
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Shared by Google AI Technology January 8, 2024
Favorite At the beginning of 2023, I started as a community manager for ClearlyDefined, with the goals of creating an open governance model for the project and helping the OSI to establish a neutral infrastructure to foster collaboration among multiple stakeholders. Thanks to the amazing work from our community members,
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Shared by voicesofopensource January 8, 2024
Favorite This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing
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Shared by AWS Machine Learning January 6, 2024
Favorite Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through
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Shared by AWS Machine Learning January 5, 2024
Shared by AWS Machine Learning January 11, 2024
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