A Technology Broker and Management Company Specializing in KM Systems
Favorite With a multitude of articles, videos, audio recordings, and other media created daily across news media companies, readers of all types—individual consumers, corporate subscribers, and more—often find it difficult to find news content that is most relevant to them. Delivering personalized news and experiences to readers can help solve
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Shared by AWS Machine Learning April 5, 2024
Favorite I was invited to join Mozilla and the Columbia Institute of Global Politics in an effort that explores what “open” should mean in the AI era. A cohort of 40 leading scholars and practitioners from Open Source AI startups and companies, non-profit AI labs, and civil society organizations came
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Shared by voicesofopensource April 4, 2024
Favorite This blog post is co-written with Hwalsuk Lee at Upstage. Today, we’re excited to announce that the Solar foundation model developed by Upstage is now available for customers using Amazon SageMaker JumpStart. Solar is a large language model (LLM) 100% pre-trained with Amazon SageMaker that outperforms and uses its
Read More Shared by AWS Machine Learning April 4, 2024
Favorite The rise of contextual and semantic search has made ecommerce and retail businesses search straightforward for its consumers. Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. This enhances the overall user
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Favorite Amazon SageMaker Studio is a web-based, integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models. SageMaker Studio provides all the tools you need to take your models from data preparation to experimentation to production while boosting your productivity.
Read More Shared by AWS Machine Learning April 4, 2024
Favorite Today we’re releasing our “AI Sprinters” report, outlining ways for developing countries to take advantage of AI’s potential. View Original Source (blog.google/technology/ai/) Here.
Favorite Amazon SageMaker Canvas allows you to use machine learning (ML) to generate predictions without having to write any code. It does so by covering the end-to-end ML workflow: whether you’re looking for powerful data preparation and AutoML, managed endpoint deployment, simplified MLOps capabilities, or the ability to configure foundation
Read More Shared by AWS Machine Learning April 3, 2024
Favorite This is a guest post co-written with Michael Feil at Gradient. Evaluating the performance of large language models (LLMs) is an important step of the pre-training and fine-tuning process before deployment. The faster and more frequent you’re able to validate performance, the higher the chances you’ll be able to
Read More Shared by AWS Machine Learning April 3, 2024
Favorite In 2023, AWS announced an expanded collaboration with Hugging Face to accelerate our customers’ generative artificial intelligence (AI) journey. Hugging Face, founded in 2016, is the premier AI platform with over 500,000 open source models and more than 100,000 datasets. Over the past year, we have partnered to make
Read More Shared by AWS Machine Learning April 3, 2024
Favorite The generative artificial intelligence (AI) revolution is in full swing, and customers of all sizes and across industries are taking advantage of this transformative technology to reshape their businesses. From reimagining workflows to make them more intuitive and easier to enhancing decision-making processes through rapid information synthesis, generative AI
Read More Shared by AWS Machine Learning April 3, 2024