AWS MLReduce model deployment costs by 50% on average using the latest features of Amazon SageMaker
Reduce model deployment costs by 50% on average using the latest features of Amazon SageMaker
AWS MLScale foundation model inference to hundreds of models with Amazon SageMaker – Part 1
Scale foundation model inference to hundreds of models with Amazon SageMaker, providing generative AI model hosting as a service.
AWS MLNew – Code Editor, based on Code-OSS VS Code Open Source now available in Amazon SageMaker Studio
New Code Editor based on Code-OSS VS Code Open Source now available in Amazon SageMaker Studio
DatabricksPresenting New Partner Integrations in Partner Connect
Introducing new partner integrations in Databricks Partner Connect for seamless adoption of partner solutions with the Data Intelligence Platform data.
DatabricksCrafting a Data-Driven Talent Intelligence Strategy in Healthcare
Crafting a data-driven talent intelligence strategy in healthcare using People Data Labs, LinkUp, and Databricks
Google CloudWhat’s new with Filestore: Enhancing your stateful workloads on GKE
Enhancing stateful workloads on GKE with new features in Filestore
Google CloudDeploy and manage Kubernetes applications with Workflows
Deploy and manage Kubernetes applications with Workflows using the newly released Kubernetes API connector and the existing Kubernetes Engine API connector.
Google CloudIntroducing sample GenAI Databases Retrieval App – augment your LLMs with Google Cloud databases
This blogpost introduces the GenAI Databases Retrieval App that enhances generative AI applications with Google Cloud databases using techniques like Retrieval Augmented Generation (RAG) and ReACT.
Google CloudBuilt with BigQuery: LiveRamp’s open approach to optimizing customer experiences
LiveRamp's open approach to optimizing customer experiences using BigQuery
Google CloudCloud CISO Perspectives: How security validations can help organizations stay secure
Learn how security validations can help organizations stay secure in today's complex threat landscape.
Apple MLFederated Learning for Speech Recognition: Revisiting Current Trends Towards Large-Scale ASR
Revisiting current trends in federated learning for large-scale ASR, emphasizing the importance of disentangling optimization and model size.
Apple MLSwap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
Characterizing the relationship between swap agnostic learning and omniprediction via multicalibration.