Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2987135Time Stamp: Nov 30, 2023
New – Code Editor, based on Code-OSS VS Code Open Source now available in Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2987139Time Stamp: Nov 30, 2023
Reduce model deployment costs by 50% on average using the latest features of Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2989163Time Stamp: Nov 30, 2023
Evaluate large language models for quality and responsibility | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2991751Time Stamp: Nov 30, 2023
Accelerate data preparation for ML in Amazon SageMaker Canvas | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2992357Time Stamp: Nov 29, 2023
Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2992362Time Stamp: Nov 29, 2023
Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2973201Time Stamp: Nov 24, 2023
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
Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2979341Time Stamp: Nov 22, 2023
Use AWS PrivateLink to set up private access to Amazon Bedrock | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2962945Time Stamp: Oct 30, 2023
Optimized MLOps With Edge Impulse, Blues, and Zephyr Source Cluster: IOT For All Source Node: 2963757Time Stamp: Oct 30, 2023
Intuitivo achieves higher throughput while saving on AI/ML costs using AWS Inferentia and PyTorch | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2957510Time Stamp: Oct 26, 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
Automatically redact PII for machine learning using Amazon SageMaker Data Wrangler | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2947493Time Stamp: Oct 19, 2023
How Veriff decreased deployment time by 80% using Amazon SageMaker multi-model endpoints | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2938665Time Stamp: Oct 16, 2023
Implementing Demand Based Hotel Room Pricing in Data Science using MLOps Source Cluster: Analytics Vidhya Source Node: 2934208Time Stamp: Oct 13, 2023
Mistral 7B foundation models from Mistral AI are now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2926928Time Stamp: Oct 9, 2023
Personalize your generative AI applications with Amazon SageMaker Feature Store | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2921672Time Stamp: Oct 6, 2023
Build an image-to-text generative AI application using multimodality models on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2921675Time Stamp: Oct 6, 2023
3 Data Science Projects Guaranteed to Land You That Job – KDnuggets Source Cluster: KDnuggets Source Node: 2923574Time Stamp: Oct 6, 2023