Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2542666Time Stamp: Apr 11, 2024
Best practices for building secure applications with Amazon Transcribe | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2526233Time Stamp: Mar 25, 2024
Optimize price-performance of LLM inference on NVIDIA GPUs using the Amazon SageMaker integration with NVIDIA NIM Microservices | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2518910Time Stamp: Mar 18, 2024
Alida gains deeper understanding of customer feedback with Amazon Bedrock | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2503826Time Stamp: Mar 4, 2024
Learn how to assess the risk of AI systems | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2403584Time Stamp: Nov 28, 2023
Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2358267Time Stamp: Oct 31, 2023
T-Mobile US, Inc. uses artificial intelligence through Amazon Transcribe and Amazon Translate to deliver voicemail in the language of their customers’ choice | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2345812Time Stamp: Oct 24, 2023
How Meesho built a generalized feed ranker using Amazon SageMaker inference | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2339746Time Stamp: Oct 20, 2023
How United Airlines built a cost-efficient Optical Character Recognition active learning pipeline | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2285061Time Stamp: Sep 21, 2023
Improving asset health and grid resilience using machine learning | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2261539Time Stamp: Sep 8, 2023
Deploy thousands of model ensembles with Amazon SageMaker multi-model endpoints on GPU to minimize your hosting costs | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2203668Time Stamp: Aug 8, 2023
AWS offers new artificial intelligence, machine learning, and generative AI guides to plan your AI strategy | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2187300Time Stamp: Jul 26, 2023
How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2149568Time Stamp: Jun 27, 2023
SambaSafety automates custom R workload, improving driver safety with Amazon SageMaker and AWS Step Functions | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2136674Time Stamp: Jun 16, 2023
Build a multilingual automatic translation pipeline with Amazon Translate Active Custom Translation | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2134530Time Stamp: Jun 15, 2023
Accelerate protein structure prediction with the ESMFold language model on Amazon SageMaker Source Cluster: AWS Machine Learning Source Node: 2088671Time Stamp: May 9, 2023
Predicting new and existing product sales in semiconductors using Amazon Forecast Source Cluster: AWS Machine Learning Source Node: 2049759Time Stamp: Apr 6, 2023
Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions Source Cluster: AWS Machine Learning Source Node: 2012771Time Stamp: Mar 15, 2023
How Marubeni is optimizing market decisions using AWS machine learning and analytics Source Cluster: AWS Machine Learning Source Node: 1999737Time Stamp: Mar 8, 2023
How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight Source Cluster: AWS Big Data Source Node: 1974135Time Stamp: Feb 22, 2023