AWS MLImprove RAG accuracy with fine-tuned embedding models on Amazon SageMaker
Improve RAG accuracy with fine-tuned embedding models on Amazon SageMaker
AWS MLUsing Agents for Amazon Bedrock to interactively generate infrastructure as code
Interactively generate infrastructure as code using Amazon Bedrock agents.
AWS MLAutomating model customization in Amazon Bedrock with AWS Step Functions workflow
Automating model customization in Amazon Bedrock with AWS Step Functions workflow
AWS MLCreate custom images for geospatial analysis with Amazon SageMaker Distribution in Amazon SageMaker Studio
Leverage Amazon SageMaker Distribution to create custom container images for geospatial analysis in Amazon SageMaker Studio
AWS MLHow BRIA AI used distributed training in Amazon SageMaker to train latent diffusion foundation models for commercial use
How BRIA AI leveraged distributed training in Amazon SageMaker for training latent diffusion foundation models efficiently for commercial use
DropboxBringing AI-powered answers and summaries to file previews on the web
AI-powered file previews on the web with summaries and Q&A leveraging large language models like Dropbox's Riviera system.
CloudflareApplication Security report: 2024 update
Insights into evolving Internet application security landscape and trends based on Cloudflare's perspective in the 2024 update report.
AWS MLKnowledge Bases for Amazon Bedrock now supports advanced parsing, chunking, and query reformulation giving greater control of accuracy in RAG based applications
Knowledge Bases for Amazon Bedrock enhances RAG accuracy with advanced parsing, chunking, and query reformulation for greater control in applications
OpenAIOpenAI and Los Alamos National Laboratory announce research partnership
Exploring the collaboration between OpenAI and Los Alamos National Laboratory in a new research partnership
PinterestBuilding Pinterest Canvas, a text-to-image foundation model
Developing Pinterest Canvas, a text-to-image foundation model for enhancing product images using generative models conditioned on existing Pinterest images
MetaTaming the tail utilization of ads inference at Meta scale
Optimizing tail utilization in ads inference systems at Meta to improve compute efficiency and reliability
SpotifyTechnical Decision-Making in a Fragmented Space: Spotify In-Car Case Study
Enhancing technical decision-making through RFCs in Spotify's integration within the fragmented automotive ecosystem