Automate Model Deployment to SageMaker Endpoints with W&B скачать в хорошем качестве

Automate Model Deployment to SageMaker Endpoints with W&B

See how you can easily set up simple Automations in Weights & Biases to automatically deploy custom models and new model versions from the model registry to Amazon SageMaker Endpoints. Ensure the best model versions get deployed to production as they iteratively improve over time, while capturing full pipelines for reproducibility. Try today: http://wandb.me/automations Link: https://wandb.ai/wandb-smle/sagemaker... Subscribe to Weights & Biases → https://bit.ly/45BCkYz Chapters: 00:00 Intro to using Weights and Biases for deploying custom models to SageMaker endpoints 00:35 Logging metrics and models to Weights and Biases for deployment 01:03 Importance of automating the deployment process for frequent model updates 01:31 Selecting the best model for deployment based on validation accuracy 02:32 Linking the selected model version to the AI model registry for deployment automation 03:08 Monitoring the deployment process in SageMaker 04:11 Confirmation of successful deployment and tracking endpoint names 05:48 Utilizing lineage to track the entire lifecycle and pipeline of deployments