University of San Francisco Data Science Conference 2023 Datathon in partnership with AWS and Amazon SageMaker Studio Lab | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2850786Time Stamp: Aug 28, 2023
Host the Spark UI on Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2810873Time Stamp: Aug 8, 2023
SageMaker Distribution is now available on Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2800904Time Stamp: Aug 2, 2023
Build protein folding workflows to accelerate drug discovery on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2796362Time Stamp: Jul 31, 2023
Use Stable Diffusion XL with Amazon SageMaker JumpStart in Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2787656Time Stamp: Jul 26, 2023
Llama 2 foundation models from Meta are now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2772647Time Stamp: Jul 18, 2023
Configure cross-account access of Amazon Redshift clusters in Amazon SageMaker Studio using VPC peering | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2768764Time Stamp: Jul 17, 2023
Interactively fine-tune Falcon-40B and other LLMs on Amazon SageMaker Studio notebooks using QLoRA | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2737766Time Stamp: Jun 29, 2023
Use proprietary foundation models from Amazon SageMaker JumpStart in Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2744081Time Stamp: Jun 27, 2023
Use the AWS CDK to deploy Amazon SageMaker Studio lifecycle configurations | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2757641Time Stamp: Jun 21, 2023
Reduce energy consumption of your machine learning workloads by up to 90% with AWS purpose-built accelerators | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2735872Time Stamp: Jun 20, 2023
Onboard users to Amazon SageMaker Studio with Active Directory group-specific IAM roles | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2733734Time Stamp: Jun 19, 2023
Build custom chatbot applications using OpenChatkit models on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2730915Time Stamp: Jun 12, 2023
Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 4: Training jobs | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2694354Time Stamp: May 30, 2023
Analyze Amazon SageMaker spend and determine cost optimization opportunities based on usage, Part 2: SageMaker notebooks and Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2696152Time Stamp: May 30, 2023
AI-powered code suggestions and security scans in Amazon SageMaker notebooks using Amazon CodeWhisperer and Amazon CodeGuru | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2648532Time Stamp: May 12, 2023
Securing MLflow in AWS: Fine-grained access control with AWS native services Source Cluster: AWS Machine Learning Source Node: 2638768Time Stamp: May 8, 2023
Implement backup and recovery using an event-driven serverless architecture with Amazon SageMaker Studio Source Cluster: AWS Machine Learning Source Node: 2627373Time Stamp: May 3, 2023
How Games24x7 transformed their retraining MLOps pipelines with Amazon SageMaker Source Cluster: AWS Machine Learning Source Node: 2584485Time Stamp: Apr 12, 2023
Build Streamlit apps in Amazon SageMaker Studio Source Cluster: AWS Machine Learning Source Node: 2576558Time Stamp: Apr 11, 2023