Nielsen Sports sees 75% cost reduction in video analysis with Amazon SageMaker multi-model endpoints | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1961495Time Stamp: Apr 4, 2024
Seamlessly transition between no-code and code-first machine learning with Amazon SageMaker Canvas and Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1961283Time Stamp: Apr 3, 2024
Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1961285Time Stamp: Apr 3, 2024
Enable single sign-on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1961713Time Stamp: Apr 2, 2024
Solar models from Upstage are now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1962112Time Stamp: Apr 2, 2024
Advanced RAG patterns on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1959780Time Stamp: Mar 28, 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: 1957361Time Stamp: Mar 18, 2024
Fine-tune Code Llama on Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1957363Time Stamp: Mar 18, 2024
Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1956500Time Stamp: Mar 15, 2024
Best practices to build generative AI applications on AWS | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1956733Time Stamp: Mar 14, 2024
Gemma is now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1956059Time Stamp: Mar 13, 2024
Set up cross-account Amazon S3 access for Amazon SageMaker notebooks in VPC-only mode using Amazon S3 Access Points | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1956942Time Stamp: Mar 13, 2024
Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1954224Time Stamp: Mar 6, 2024
Automate Amazon SageMaker Pipelines DAG creation | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1953124Time Stamp: Feb 29, 2024
Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1953298Time Stamp: Feb 29, 2024
How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1952230Time Stamp: Feb 27, 2024
Techniques and approaches for monitoring large language models on AWS | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1951645Time Stamp: Feb 26, 2024
Streamline diarization using AI as an assistive technology: ZOO Digital’s story | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1949752Time Stamp: Feb 20, 2024
Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1949509Time Stamp: Feb 19, 2024
Code Llama 70B is now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1948531Time Stamp: Feb 16, 2024