GraphStorm, a low-code enterprise graph machine learning (GML) framework designed for building, training, and deploying GML solutions swiftly on complex, large-scale graphs, announces the launch of GraphStorm 0.3. The new version includes native support for multi-task learning on graphs, enabling users to define multiple training targets on different nodes and edges within a single training…
This post explains how large language models (LLMs) can be fine-tuned to better adapt to specific domains or tasks, using Amazon SageMaker and MLflow. When working with LLMs, customers may have varied requirements such as choosing a suitable pre-trained foundation model (FM) or customizing an existing model for a specific task. Using Amazon SageMaker with…
Amazon has long been committed to developing responsible AI, embedding safety, fairness, security, and privacy into its processes. This commitment involves not just the creation of more than 70 tools and mechanisms supporting responsible AI, but also educating employees and the public through thousands of training hours and free courses. In the multi-faceted approach adopted…
Amazon has been leading the way in responsible AI development, embedding safety, fairness, security, privacy, and robustness into its development process to protect customers. It has created over 70 tools and mechanisms that support responsible AI and published over 500 papers on the subject. Additionally, they also deliver training on responsible AI practice to employees…
Organizations are increasingly investing in artificial intelligence (AI) to help employees complete their tasks more efficiently and innovate their operations. Tapping into this potential, Amazon has developed a comprehensive generative AI stack to help organizations build and scale customized AI applications.
At the top of this stack, Amazon has its AI-powered assistant, Amazon Q. Amazon Q…
Generative AI is revolutionizing work environments, promoting innovation and enhancing app user experiences. To actualize its benefits, businesses must invest in generative AI stacks that can scale to their needs, ensuring robust infrastructure and data protection. Amazon has played a key role here, with twice as many generative and machine learning features introduced compared to…
Amazon Bedrock, a fully managed service by AWS, provides access to large language models and other foundation models from top AI companies through a single API. This article explores the reasons why customers opt for Bedrock, focusing on its ability to build a secure and responsible foundation for generative AI applications. Amazon Bedrock addresses security…
