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Favorite This post explores how Amazon CodeWhisperer can help with code optimization for sustainability through increased resource efficiency. Computationally resource-efficient coding is one technique that aims to reduce the amount of energy required to process a line of code and, as a result, aid companies in consuming less energy overall.
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Shared by AWS Machine Learning November 9, 2023
Favorite This post is cowritten with Ming (Melvin) Qin, David Bericat and Brad Genereaux from NVIDIA. Medical imaging AI researchers and developers need a scalable, enterprise framework to build, deploy, and integrate their AI applications. AWS and NVIDIA have come together to make this vision a reality. AWS, NVIDIA, and
Read More Shared by AWS Machine Learning November 9, 2023
Favorite Generative AI in Search, or Search Generative Experience (SGE), is expanding around the world, and adding four new languages. View Original Source (blog.google/technology/ai/) Here.
Favorite Large language models (LLMs) with their broad knowledge, can generate human-like text on almost any topic. However, their training on massive datasets also limits their usefulness for specialized tasks. Without continued learning, these models remain oblivious to new data and trends that emerge after their initial training. Furthermore, the
Read More Shared by AWS Machine Learning November 8, 2023
Favorite Today, we’re announcing the Swedish recipients of Google.org Impact Challenge: Tech for Social Good – receiving technical support and 3 million Euros in funding for char… View Original Source (blog.google/technology/ai/) Here.
Favorite Posted by Xin Wang, Software Engineer, and Nishanth Dikkala, Research Scientist, Google Research Contemporary deep learning models have been remarkably successful in many domains, ranging from natural language to computer vision. Transformer neural networks (transformers) are a popular deep learning architecture that today comprise the foundation for most tasks
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Shared by Google AI Technology November 7, 2023
Favorite We are excited to announce that Amazon SageMaker JumpStart can now stream large language model (LLM) inference responses. Token streaming allows you to see the model response output as it is being generated instead of waiting for LLMs to finish the response generation before it is made available for
Read More Shared by AWS Machine Learning November 7, 2023
Favorite Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. Queries is a feature that enables you to extract specific pieces of information from varying, complex documents using natural language. Custom Queries provides a way for you to customize the Queries
Read More Shared by AWS Machine Learning November 7, 2023
Favorite Your contact center serves as the vital link between your business and your customers. Every call to your contact center is an opportunity to learn more about your customers’ needs and how well you are meeting those needs. Most contact centers require their agents to summarize their conversation after
Read More Shared by AWS Machine Learning November 7, 2023
Favorite We embarked on a process, promising at the beginning of the year that we’d make a first announcement at All Things Open, kickstarting a public conversation. We’ve delivered, thanks to contributions of many experts and sponsors. But it’s only the starting point. There is a lot more to do.
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Shared by voicesofopensource November 6, 2023