Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1967767Time Stamp: Apr 23, 2024
Meta Llama 3 models are now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1965892Time Stamp: Apr 18, 2024
Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1965234Time Stamp: Apr 16, 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: 1961283Time Stamp: Apr 3, 2024
Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1953298Time Stamp: Feb 29, 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: 1944096Time 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: 1938140Time 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: 1925385Time 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: 1924682Time 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: 1921923Time Stamp: Dec 6, 2023
Experience the new and improved Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1919794Time 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: 1919450Time 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: 1921170Time 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: 1919097Time 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: 1917092Time 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: 1916456Time Stamp: Nov 22, 2023
Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1915773Time Stamp: Nov 20, 2023
Model management for LoRA fine-tuned models using Llama2 and Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1915459Time Stamp: Nov 14, 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: 1906007Time 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: 1900352Time Stamp: Oct 10, 2023