Favorite Implementing a modern data architecture provides a scalable method to integrate data from disparate sources. By organizing data by business domains instead of infrastructure, each domain can choose tools that suit their needs. Organizations can maximize the value of their modern data architecture with generative AI solutions while innovating
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Shared by AWS Machine Learning June 14, 2023
Favorite This post is co-written with Jad Chamoun, Director of Engineering at Forethought Technologies, Inc. and Salina Wu, Senior ML Engineer at Forethought Technologies, Inc. Forethought is a leading generative AI suite for customer service. At the core of its suite is the innovative SupportGPT technology which uses machine learning to
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Shared by AWS Machine Learning June 14, 2023
Favorite Google and YouTube’s new AI-powered solutions help advertisers multiply their creativity and generate demand. View Original Source (blog.google/technology/ai/) Here.
Favorite Posted by Junfeng He, Senior Research Scientist, and Kai Kohlhoff, Staff Research Scientist, Google Research People have the remarkable ability to take in a tremendous amount of information (estimated to be ~1010 bits/s entering the retina) and selectively attend to a few task-relevant and interesting regions for further processing
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Shared by Google AI Technology June 13, 2023
Favorite From stunt doubles to AI, learn how we built fall detection for Google Pixel Watch. View Original Source (blog.google/technology/ai/) Here.
Favorite GPT-J is an open-source 6-billion-parameter model released by Eleuther AI. The model is trained on the Pile and can perform various tasks in language processing. It can support a wide variety of use cases, including text classification, token classification, text generation, question and answering, entity extraction, summarization, sentiment analysis,
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Shared by AWS Machine Learning June 13, 2023
Favorite Open-source large language models (LLMs) have become popular, allowing researchers, developers, and organizations to access these models to foster innovation and experimentation. This encourages collaboration from the open-source community to contribute to developments and improvement of LLMs. Open-source LLMs provide transparency to the model architecture, training process, and training
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Shared by AWS Machine Learning June 13, 2023
Favorite We are excited to announce the open-source release of GraphStorm 0.1, a low-code enterprise graph machine learning (ML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. With GraphStorm, you can build solutions that directly take into account the structure
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Shared by AWS Machine Learning June 10, 2023
Favorite ONNX (Open Neural Network Exchange) is an open-source standard for representing deep learning models widely supported by many providers. ONNX provides tools for optimizing and quantizing models to reduce the memory and compute needed to run machine learning (ML) models. One of the biggest benefits of ONNX is that
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Shared by AWS Machine Learning June 10, 2023
Favorite Posted by Su Wang and Ceslee Montgormery, Research Engineers, Google Research In the last few years, text-to-image generation research has seen an explosion of breakthroughs (notably, Imagen, Parti, DALL-E 2, etc.) that have naturally permeated into related topics. In particular, text-guided image editing (TGIE) is a practical task that
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Shared by Google AI Technology June 9, 2023
Shared by AWS Machine Learning June 14, 2023
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