Use Kubernetes Operators for new inference capabilities in Amazon SageMaker that reduce LLM deployment costs by 50% on average | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2551839Time Stamp: Apr 19, 2024
Seamlessly transition between no-code and code-first machine learning with Amazon SageMaker Canvas and Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2534594Time Stamp: Apr 3, 2024
Solar models from Upstage are now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2537985Time Stamp: Apr 2, 2024
Optimize price-performance of LLM inference on NVIDIA GPUs using the Amazon SageMaker integration with NVIDIA NIM Microservices | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2518910Time Stamp: Mar 18, 2024
Gemma is now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2514941Time Stamp: Mar 13, 2024
Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2488242Time Stamp: Feb 19, 2024
Code Llama 70B is now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2483155Time Stamp: Feb 16, 2024
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: 2465547Time Stamp: Jan 31, 2024
Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock and Amazon SageMaker – Part 1 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2462876Time Stamp: Jan 30, 2024
Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2448470Time Stamp: Jan 19, 2024
Llama Guard is now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2412058Time Stamp: Dec 20, 2023
Identify cybersecurity anomalies in your Amazon Security Lake data using Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2413004Time Stamp: Dec 20, 2023
Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 2: Interactive User Experiences in SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2405908Time Stamp: Nov 30, 2023
Accelerate data preparation for ML in Amazon SageMaker Canvas | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2404646Time Stamp: Nov 29, 2023
Democratize ML on Salesforce Data Cloud with no-code Amazon SageMaker Canvas | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2402119Time Stamp: Nov 27, 2023
Build a contextual chatbot for financial services using Amazon SageMaker JumpStart, Llama 2 and Amazon OpenSearch Serverless with Vector Engine | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2396505Time Stamp: Nov 22, 2023
Build a medical imaging AI inference pipeline with MONAI Deploy on AWS | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2374269Time Stamp: Nov 8, 2023
Deploy ML models built in Amazon SageMaker Canvas to Amazon SageMaker real-time endpoints | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2363204Time 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: 2339746Time 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: 2320329Time Stamp: Oct 10, 2023