Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2555550Time 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: 2553444Time 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: 2548363Time 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: 2534594Time 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: 2503072Time 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: 2465547Time 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: 2446413Time 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: 2416754Time 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: 2419443Time Stamp: Dec 13, 2023
Experience the new and improved Amazon SageMaker Studio | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2407265Time Stamp: Dec 1, 2023
Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2404648Time 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: 2397648Time 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: 2395360Time 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: 2392411Time 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: 2382592Time Stamp: Nov 14, 2023
Implement fine-grained access control in Amazon SageMaker Studio and Amazon EMR using Apache Ranger and Microsoft Active Directory | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2374800Time Stamp: Nov 8, 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: 2349267Time 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: 2320329Time 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: 2299620Time 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: 2297997Time Stamp: Sep 28, 2023