Deploy a Hugging Face (PyAnnote) speaker diarization model on Amazon SageMaker as an asynchronous endpoint | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1968300Time Stamp: Apr 25, 2024
Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1968037Time Stamp: Apr 24, 2024
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
Significant new capabilities make it easier to use Amazon Bedrock to build and scale generative AI applications – and achieve impressive results | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1967437Time Stamp: Apr 23, 2024
Integrate HyperPod clusters with Active Directory for seamless multi-user login | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1967108Time Stamp: Apr 22, 2024
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: 1966211Time Stamp: Apr 19, 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
Slack delivers native and secure generative AI powered by Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1965894Time 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
Distributed training and efficient scaling with the Amazon SageMaker Model Parallel and Data Parallel Libraries | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1965236Time Stamp: Apr 16, 2024
Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1962479Time Stamp: Apr 8, 2024
Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1962694Time Stamp: Apr 8, 2024
Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1961922Time Stamp: Apr 5, 2024
Nielsen Sports sees 75% cost reduction in video analysis with Amazon SageMaker multi-model endpoints | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1961495Time Stamp: Apr 4, 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
Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1961285Time Stamp: Apr 3, 2024
Enable single sign-on access of Amazon SageMaker Canvas using AWS IAM Identity Center: Part 2 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1961713Time Stamp: Apr 2, 2024
Solar models from Upstage are now available in Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1962112Time Stamp: Apr 2, 2024
Advanced RAG patterns on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 1959780Time Stamp: Mar 28, 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: 1957361Time Stamp: Mar 18, 2024