Favorite Posted by Cheng-Yu Hsieh, Student Researcher, and Chen-Yu Lee, Research Scientist, Cloud AI Team Large language models (LLMs) have enabled a new data-efficient learning paradigm wherein they can be used to solve unseen new tasks via zero-shot or few-shot prompting. However, LLMs are challenging to deploy for real-world applications
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Shared by Google AI Technology September 21, 2023
Favorite As customers accelerate their migrations to the cloud and transform their business, some find themselves in situations where they have to manage IT operations in a multicloud environment. For example, you might have acquired a company that was already running on a different cloud provider, or you may have
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Shared by AWS Machine Learning September 20, 2023
Favorite Our recent research report, Generating Change, shares what newsrooms are doing with AI today. View Original Source (blog.google/technology/ai/) Here.
Favorite Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. Feature quality is critical to
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Shared by AWS Machine Learning September 19, 2023
Favorite This post is written in collaboration with Dima Zadorozhny and Fuad Babaev from VirtuSwap. VirtuSwap is a startup company developing innovative technology for decentralized exchange of assets on blockchains. VirtuSwap’s technology provides more efficient trading for assets that don’t have a direct pair between them. The absence of a direct
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Shared by AWS Machine Learning September 19, 2023
Favorite Multi-modal data is a valuable component of the financial industry, encompassing market, economic, customer, news and social media, and risk data. Financial organizations generate, collect, and use this data to gain insights into financial operations, make better decisions, and improve performance. However, there are challenges associated with multi-modal data
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Shared by AWS Machine Learning September 19, 2023
Favorite Open Source enthusiasts have grown to rely on unbiased, community-led content. Writers and editors of the project formerly known as Opensource.com are being invited to join OpenSource.net, a domain hosted by the Open Source Initiative. Bilbao, Spain – September 18, 2023 – Today, the Open Source Initiative (OSI) has
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Shared by voicesofopensource September 19, 2023
Favorite Data Commons works with the UN and ONE to track progress toward the SDGs. View Original Source (blog.google/technology/ai/) Here.
Favorite This post is co-authored with Richard Alexander and Mark Hallows from Arup. Arup is a global collective of designers, consultants, and experts dedicated to sustainable development. Data underpins Arup consultancy for clients with world-class collection and analysis providing insight to make an impact. The solution presented here is to
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Shared by AWS Machine Learning September 18, 2023
Favorite Machine learning (ML) is becoming increasingly complex as customers try to solve more and more challenging problems. This complexity often leads to the need for distributed ML, where multiple machines are used to train a single model. Although this enables parallelization of tasks across multiple nodes, leading to accelerated
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Shared by AWS Machine Learning September 18, 2023
Shared by Google AI Technology September 21, 2023
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