Optimizing costs for Amazon SageMaker Canvas with automatic shutdown of idle apps | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2973821Time Stamp: Nov 24, 2023
How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2973823Time Stamp: Nov 24, 2023
Akool AI offers a solution to shuttling between AI platforms Source Cluster: Dataconomy Source Node: 2973935Time Stamp: Nov 24, 2023
Your guide to generative AI and ML at AWS re:Invent 2023 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2974537Time Stamp: Nov 22, 2023
Build a contextual chatbot for financial services using Amazon SageMaker JumpStart, Llama 2 and Amazon OpenSearch Serverless with Vector Engine | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2979339Time Stamp: Nov 22, 2023
A Microsoft Engineer’s Guide to AI Innovation and Leadership – KDnuggets Source Cluster: KDnuggets Source Node: 2984339Time Stamp: Nov 17, 2023
Use generative AI with Amazon EMR, Amazon Bedrock, and English SDK for Apache Spark to unlock insights | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2980843Time Stamp: Nov 16, 2023
Build trust and safety for generative AI applications with Amazon Comprehend and LangChain | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2969063Time Stamp: Nov 10, 2023
Use machine learning without writing a single line of code with Amazon SageMaker Canvas | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2969065Time Stamp: Nov 10, 2023
Implement model versioning with Amazon Redshift ML | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2966547Time Stamp: Nov 1, 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: 2966201Time Stamp: Oct 31, 2023
Deploy and fine-tune foundation models in Amazon SageMaker JumpStart with two lines of code | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2962949Time Stamp: Oct 30, 2023
Create, train, and deploy Amazon Redshift ML model integrating features from Amazon SageMaker Feature Store | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2960689Time Stamp: Oct 26, 2023
Empower your business users to extract insights from company documents using Amazon SageMaker Canvas Generative AI | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2957543Time Stamp: Oct 26, 2023
Unstructured data management and governance using AWS AI/ML and analytics services | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2963286Time Stamp: Oct 25, 2023
Detection and high-frequency monitoring of methane emission point sources using Amazon SageMaker geospatial capabilities | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2954990Time Stamp: Oct 25, 2023
Retrieval-Augmented Generation & RAG Workflows Source Cluster: AI & Machine Learning Source Node: 2955016Time Stamp: Oct 24, 2023
From text to dream job: Building an NLP-based job recommender at Talent.com with Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2953050Time Stamp: Oct 23, 2023
Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2947460Time Stamp: Oct 20, 2023
How Meesho built a generalized feed ranker using Amazon SageMaker inference | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2947465Time Stamp: Oct 20, 2023