Fine-tune and deploy language models with Amazon SageMaker Canvas and Amazon Bedrock | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1970157Time Stamp: May 1, 2024
Improving inclusion and accessibility through automated document translation with an open source app using Amazon Translate | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1970731Time Stamp: May 1, 2024
Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1970733Time Stamp: May 1, 2024
Build private and secure enterprise generative AI apps with Amazon Q Business and AWS IAM Identity Center | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1969855Time Stamp: Apr 30, 2024
Enhance customer service efficiency with AI-powered summarization using Amazon Transcribe Call Analytics | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1969857Time Stamp: Apr 30, 2024
Accelerate software development and leverage your business data with generative AI assistance from Amazon Q | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1969883Time Stamp: Apr 30, 2024
Amazon Q Business and Amazon Q in QuickSight empowers employees to be more data-driven and make better, faster decisions using company knowledge | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1969885Time Stamp: Apr 30, 2024
Develop and train large models cost-efficiently with Metaflow and AWS Trainium | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1969587Time Stamp: Apr 29, 2024
Cohere Command R and R+ are now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1969589Time Stamp: Apr 29, 2024
Revolutionizing large language model training with Arcee and AWS Trainium | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1970974Time Stamp: Apr 29, 2024
Sam Altman, Satya Nadella Join High-Powered AI Safety Board for Homeland Security – Decrypt Source Cluster: Decrypt Source Node: 1968950Time Stamp: Apr 26, 2024
Databricks DBRX is now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1968564Time Stamp: Apr 26, 2024
Knowledge Bases in Amazon Bedrock now simplifies asking questions on a single document | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1968566Time Stamp: Apr 26, 2024
Deploy a Hugging Face (PyAnnote) speaker diarization model on Amazon SageMaker as an asynchronous endpoint | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1968300Time Stamp: Apr 25, 2024
Evaluate the text summarization capabilities of LLMs for enhanced decision-making on AWS | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1968302Time Stamp: Apr 25, 2024
Enhance conversational AI with advanced routing techniques with Amazon Bedrock | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1968035Time Stamp: Apr 24, 2024
Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1968037Time Stamp: Apr 24, 2024
Improve accuracy of Amazon Rekognition Face Search with user vectors | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1968832Time Stamp: Apr 24, 2024
Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1967767Time Stamp: Apr 23, 2024
Significant new capabilities make it easier to use Amazon Bedrock to build and scale generative AI applications – and achieve impressive results | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1967437Time Stamp: Apr 23, 2024