7 End-to-End MLOps Platforms You Must Try in 2024 – KDnuggets Source Cluster: KDnuggets Source Node: 2557822Time 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: 2556385Time Stamp: Apr 24, 2024
Improve accuracy of Amazon Rekognition Face Search with user vectors | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2557446Time 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: 2555550Time 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: 2555552Time 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: 2554639Time 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: 2551839Time Stamp: Apr 19, 2024
Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock – Part 2 | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2552718Time Stamp: Apr 19, 2024
Meta launches its Llama 3 open-source LLM on Amazon AWS – Tech Startups Source Cluster: TechStartups Source Node: 2551472Time Stamp: Apr 18, 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
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: 2547334Time Stamp: Apr 16, 2024
Top 11 Model Deployment and Serving Tools Source Cluster: Analytics Vidhya Source Node: 2545029Time Stamp: Apr 13, 2024
Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2542666Time Stamp: Apr 11, 2024
AWS at NVIDIA GTC 2024: Accelerate innovation with generative AI on AWS | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2542668Time Stamp: Apr 11, 2024
Build an active learning pipeline for automatic annotation of images with AWS services | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2541471Time Stamp: Apr 10, 2024
Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2538674Time 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: 2538677Time Stamp: Apr 8, 2024
Mistral 7B-V0.2: Fine-Tuning Mistral’s New Open-Source LLM with Hugging Face – KDnuggets Source Cluster: KDnuggets Source Node: 2539014Time 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: 2536482Time Stamp: Apr 5, 2024