Databricks DBRX is now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1968564Time Stamp: Apr 26, 2024
Integrate HyperPod clusters with Active Directory for seamless multi-user login | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1967108Time Stamp: Apr 22, 2024
Meta Llama 3 models are now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1965892Time Stamp: Apr 18, 2024
Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1962479Time Stamp: Apr 8, 2024
Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1962694Time Stamp: Apr 8, 2024
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
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
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
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
AI and Big Data Expo North America announces leading Speaker Lineup Source Cluster: ACN Newswire Source Node: 1954466Time Stamp: Mar 8, 2024
Automate Amazon SageMaker Pipelines DAG creation | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1953124Time 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
Detect anomalies in manufacturing data using Amazon SageMaker Canvas | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1947975Time Stamp: Feb 15, 2024
How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1947388Time Stamp: Feb 13, 2024
How Booking.com modernized its ML experimentation framework with Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1947114Time Stamp: Feb 12, 2024
Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1943841Time Stamp: Feb 2, 2024
Designing generative AI workloads for resilience | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1943577Time Stamp: Feb 1, 2024
Getting started with Amazon Titan Text Embeddings in Amazon Bedrock | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1945779Time Stamp: Jan 31, 2024