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Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for ML. It provides a single, web-based visual interface where you can perform all machine learning (ML) development steps required to build, train, tune, debug, deploy, and monitor models. It gives data scientists all the tools you need
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Shared by AWS Machine Learning May 3, 2023
Favorite Generative AI (GenAI) and large language models (LLMs), such as those available soon via Amazon Bedrock and Amazon Titan are transforming the way developers and enterprises are able to solve traditionally complex challenges related to natural language processing and understanding. Some of the benefits offered by LLMs include the
Read More Shared by AWS Machine Learning May 3, 2023
Favorite Posted by Joanne Truong, Student Researcher, and Wenhao Yu, Research Scientist, Robotics at Google Teaching mobile robots to navigate in complex outdoor environments is critical to real-world applications, such as delivery or search and rescue. However, this is also a challenging problem as the robot needs to perceive its
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Shared by Google AI Technology May 3, 2023
Favorite Checks takes the complexity out of compliance, using AI to help companies quickly discover, communicate and fix issues. View Original Source (blog.google/technology/ai/) Here.
Favorite Four new online interactive artworks from Google Arts & Culture Lab artists in residence View Original Source (blog.google/technology/ai/) Here.
Favorite Today, we announce the availability of sample notebooks that demonstrate question answering tasks using a Retrieval Augmented Generation (RAG)-based approach with large language models (LLMs) in Amazon SageMaker JumpStart. Text generation using RAG with LLMs enables you to generate domain-specific text outputs by supplying specific external data as part
Read More Shared by AWS Machine Learning May 2, 2023
Favorite Machine learning (ML) helps organizations generate revenue, reduce costs, mitigate risk, drive efficiencies, and improve quality by optimizing core business functions across multiple business units such as marketing, manufacturing, operations, sales, finance, and customer service. With AWS ML, organizations can accelerate the value creation from months to days. Amazon
Read More Shared by AWS Machine Learning May 2, 2023
Favorite One of the most popular models available today is XGBoost. With the ability to solve various problems such as classification and regression, XGBoost has become a popular option that also falls into the category of tree-based models. In this post, we dive deep to see how Amazon SageMaker can
Read More Shared by AWS Machine Learning May 2, 2023
Favorite The rapid adoption of smart phones and other mobile platforms has generated an enormous amount of image data. According to Gartner, unstructured data now represents 80–90% of all new enterprise data, but just 18% of organizations are taking advantage of this data. This is mainly due to a lack
Read More Shared by AWS Machine Learning May 1, 2023
Favorite Posted by Catherine Armato, Program Manager, Google The Eleventh International Conference on Learning Representations (ICLR 2023) is being held this week as a hybrid event in Kigali, Rwanda. We are proud to be a Diamond Sponsor of ICLR 2023, a premier conference on deep learning, where Google researchers contribute
Read More Shared by Google AI Technology May 1, 2023