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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
Read More 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
Read More 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
Read More 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
Read More Shared by AWS Machine Learning September 18, 2023
Favorite Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. Often, LLMs need to interact with other software, databases,
Read More Shared by AWS Machine Learning September 15, 2023
Favorite Posted by Haolin Jia, Software Engineer, and Qifei Wang, Senior Software Engineer, Core ML In recent years, we have witnessed rising interest across consumers and researchers in integrated augmented reality (AR) experiences using real-time face feature generation and editing functions in mobile applications, including short videos, virtual reality, and
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Shared by Google AI Technology September 15, 2023
Favorite This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful. Unstructured data accounts for 80% of all the
Read More Shared by AWS Machine Learning September 14, 2023