End-to-End model training and deployment with Amazon SageMaker Unified Studio

In this post, we guide you through the stages of customizing large language models (LLMs) with SageMaker Unified Studio and SageMaker AI, covering the end-to-end process starting from data discovery to fine-tuning FMs with SageMaker AI distributed training, tracking metrics using MLflow, and then deploying models using SageMaker AI inference for real-time inference. We also discuss best practices to choose the right instance size and share some debugging best practices while working with JupyterLab notebooks in SageMaker Unified Studio.

Dell Technologies Positioned for AI-Driven Growth, Says Morgan Stanley

Dell Technologies Inc. (NYSE:DELL) is one of the 20 undervalued momentum stocks that are taking off. On June 26, Morgan Stanley’s Erik Woodring reiterated his Buy rating on Dell Technologies, maintaining a price target of $135. His outlook was based on Dell’s solid position which enables it to benefit from accelerating demand for AI servers, which […]