Reduce model deployment costs by 50% on average using the latest features of Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2989163Time Stamp: Nov 30, 2023
Minimize real-time inference latency by using Amazon SageMaker routing strategies | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2989165Time Stamp: Nov 30, 2023
Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2989850Time Stamp: Nov 30, 2023
Introducing Amazon SageMaker HyperPod to train foundation models at scale | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2989852Time Stamp: Nov 30, 2023
Evaluate large language models for quality and responsibility | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2991751Time Stamp: Nov 30, 2023
Accelerate data preparation for ML in Amazon SageMaker Canvas | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2992357Time Stamp: Nov 29, 2023
Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2992362Time Stamp: Nov 29, 2023
Accelerate deep learning model training up to 35% with Amazon SageMaker smart sifting | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2985644Time Stamp: Nov 29, 2023
Schedule Amazon SageMaker notebook jobs and manage multi-step notebook workflows using APIs | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2985648Time Stamp: Nov 29, 2023
Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2985371Time Stamp: Nov 29, 2023
Announcing new tools and capabilities to enable responsible AI innovation | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2994256Time Stamp: Nov 29, 2023
Learn how to assess the risk of AI systems | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2983118Time Stamp: Nov 28, 2023
Boost inference performance for LLMs with new Amazon SageMaker containers | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2982240Time Stamp: Nov 27, 2023
Boost inference performance for LLMs with new Amazon SageMaker containers | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2982241Time Stamp: Nov 27, 2023
Simplify data prep for generative AI with Amazon SageMaker Data Wrangler | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2983121Time Stamp: Nov 27, 2023
Democratize ML on Salesforce Data Cloud with no-code Amazon SageMaker Canvas | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2984804Time Stamp: Nov 27, 2023
IBM watsonx AI and data platform, security solutions and consulting services for generative AI to be showcased at AWS re:Invent – IBM Blog Source Cluster: IBM Source Node: 2981708Time Stamp: Nov 27, 2023
Beyond Imagination: The Rise and Evolution of Generative AI Tools Source Cluster: Fintextra Source Node: 2980485Time Stamp: Nov 26, 2023
Large Language Models for sentiment analysis with Amazon Redshift ML (Preview) | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2979947Time Stamp: Nov 26, 2023
Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2973201Time Stamp: Nov 24, 2023