Deploy ML models built in Amazon SageMaker Canvas to Amazon SageMaker real-time endpoints | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1908762Time Stamp: Nov 2, 2023
How Meesho built a generalized feed ranker using Amazon SageMaker inference | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1904144Time Stamp: Oct 20, 2023
Whisper models for automatic speech recognition now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1900352Time Stamp: Oct 10, 2023
Create an HCLS document summarization application with Falcon using Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1898108Time Stamp: Oct 4, 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: 1895568Time Stamp: Sep 28, 2023
Run multiple generative AI models on GPU using Amazon SageMaker multi-model endpoints with TorchServe and save up to 75% in inference costs | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1887176Time Stamp: Sep 6, 2023
Elevating the generative AI experience: Introducing streaming support in Amazon SageMaker hosting | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1883766Time Stamp: Sep 1, 2023
MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1882129Time Stamp: Aug 29, 2023
Zero-shot and few-shot prompting for the BloomZ 176B foundation model with the simplified Amazon SageMaker JumpStart SDK | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1875510Time Stamp: Aug 14, 2023
Deploy thousands of model ensembles with Amazon SageMaker multi-model endpoints on GPU to minimize your hosting costs | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1872932Time Stamp: Aug 8, 2023
Optimize data preparation with new features in AWS SageMaker Data Wrangler | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1871188Time Stamp: Aug 4, 2023
Optimize data preparation with new features in Amazon SageMaker Data Wrangler | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1873283Time Stamp: Aug 4, 2023
Bring your own AI using Amazon SageMaker with Salesforce Data Cloud | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1871200Time Stamp: Aug 4, 2023
Build a personalized avatar with generative AI using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1870498Time Stamp: Aug 2, 2023
Use proprietary foundation models from Amazon SageMaker JumpStart in Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1852970Time Stamp: Jun 27, 2023
How Forethought saves over 66% in costs for generative AI models using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1847532Time Stamp: Jun 13, 2023
Build high-performance ML models using PyTorch 2.0 on AWS – Part 1 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1844691Time Stamp: Jun 6, 2023
Train a Large Language Model on a single Amazon SageMaker GPU with Hugging Face and LoRA | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1846781Time Stamp: Jun 5, 2023
Host ML models on Amazon SageMaker using Triton: CV model with PyTorch backend | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1842812Time Stamp: May 31, 2023
Accelerate your learning towards AWS Certification exams with automated quiz generation using Amazon SageMaker foundations models | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1843134Time Stamp: May 31, 2023