Train and host a computer vision model for tampering detection on Amazon SageMaker: Part 2 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 3091550Time Stamp: Jan 31, 2024
Use mobility data to derive insights using Amazon SageMaker geospatial capabilities | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 3067923Time Stamp: Jan 17, 2024
Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 3016340Time Stamp: Dec 14, 2023
Fine-tune Llama 2 using QLoRA and Deploy it on Amazon SageMaker with AWS Inferentia2 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 3012051Time Stamp: Dec 13, 2023
Mitigate hallucinations through Retrieval Augmented Generation using Pinecone vector database & Llama-2 from Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2997598Time Stamp: Dec 6, 2023
Experience the new and improved Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2987892Time Stamp: Dec 1, 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
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
Schedule Amazon SageMaker notebook jobs and manage multi-step notebook workflows using APIs | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2985648Time 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
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
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
Whisper models for automatic speech recognition now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2930279Time Stamp: Oct 10, 2023
Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2909173Time Stamp: Sep 29, 2023
Speed up your time series forecasting by up to 50 percent with Amazon SageMaker Canvas UI and AutoML APIs | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2906113Time Stamp: Sep 28, 2023
Train and deploy ML models in a multicloud environment using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2893487Time Stamp: Sep 20, 2023
How VirtuSwap accelerates their pandas-based trading simulations with an Amazon SageMaker Studio custom container and AWS GPU instances | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2890023Time Stamp: Sep 19, 2023
Fine-tune Falcon 7B and other LLMs on Amazon SageMaker with @remote decorator | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2880182Time Stamp: Sep 14, 2023
Amazon SageMaker simplifies the Amazon SageMaker Studio setup for individual users | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2876744Time Stamp: Sep 12, 2023
Amazon SageMaker Domain in VPC only mode to support SageMaker Studio with auto shutdown Lifecycle Configuration and SageMaker Canvas with Terraform | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2877578Time Stamp: Sep 11, 2023