MIT News – Artificial intelligence Large language models like those that power ChatGPT have shown impressive performance on tasks like drafting legal briefs, analyzing the sentiment of customer reviews, or translating documents into different languages.These machine-learning models typically use only natural language to process information and answer queries, which can make it difficult for them […]Continue reading
MIT News – Artificial intelligence In the beginning, as one version of the Haudenosaunee creation story has it, there was only water and sky. According to oral tradition, when the Sky Woman became pregnant, she dropped through a hole in the clouds. While many animals guided her descent as she fell, she eventually found a […]Continue reading
AWS Machine Learning Blog We are excited to announce a new version of the Amazon SageMaker Operators for Kubernetes using the AWS Controllers for Kubernetes (ACK). ACK is a framework for building Kubernetes custom controllers, where each controller communicates with an AWS service API. These controllers allow Kubernetes users to provision AWS resources like buckets, […]Continue reading
AWS Machine Learning Blog In January 2024, Amazon SageMaker launched a new version (0.26.0) of Large Model Inference (LMI) Deep Learning Containers (DLCs). This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for increased control and prediction explainability (such as […]Continue reading
AWS Machine Learning Blog Today, Amazon SageMaker launches a new version (0.25.0) of Large Model Inference (LMI) Deep Learning Containers (DLCs) and adds support for NVIDIA’s TensorRT-LLM Library. With these upgrades, you can effortlessly access state-of-the-art tooling to optimize large language models (LLMs) on SageMaker and achieve price-performance benefits – Amazon SageMaker LMI TensorRT-LLM DLC […]Continue reading
AWS Machine Learning Blog We are excited to announce a simplified version of the Amazon SageMaker JumpStart SDK that makes it straightforward to build, train, and deploy foundation models. The code for prediction is also simplified. In this post, we demonstrate how you can use the simplified SageMaker Jumpstart SDK to get started with using […]Continue reading
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