AWS MLIntroducing guardrails in Knowledge Bases for Amazon Bedrock
Enhancing generative AI safety and compliance with guardrails in Knowledge Bases for Amazon Bedrock
AWS MLMedical content creation in the age of generative AI
Exploring the use of LLMs for medical content creation and marketing in the healthcare and life sciences industry
AWS MLBuild your multilingual personal calendar assistant with Amazon Bedrock and AWS Step Functions
Build a multilingual personal calendar assistant using Amazon Bedrock and AWS Step Functions
CloudflareDeclaring your AIndependence: block AI bots, scrapers and crawlers with a single click
Block AI bots, scrapers, and crawlers with a single click to ensure safe Internet for content creators.
CloudflareFirst round of French election: party attacks and a modest traffic dip
Cloudflare mitigates DDoS attacks on French political parties during the 2024 election, showing a modest traffic dip post-voting.
AWS MLImprove productivity when processing scanned PDFs using Amazon Q Business
Enhance document processing productivity with Amazon Q Business for scanned PDFs
Snorkel AIWeak supervision for non-categorical applications + superalignment
Expanding weak supervision to new frontiers with superalignment for non-categorical applications
Snorkel AIWeak supervision for non-categorical applications + superalignment
Enhancing model alignment through weak supervision for non-categorical applications + superalignment
InstacartEnhancing FoodStorm with AI Image Generation
Explore the integration of Generative AI for image generation in FoodStorm to enhance product visualization and promotional content.
AWS MLCreate an end-to-end serverless digital assistant for semantic search with Amazon Bedrock
Create an end-to-end serverless digital assistant for semantic search with Amazon Bedrock
AWS MLAccenture creates a custom memory-persistent conversational user experience using Amazon Q Business
Accenture creates a custom conversational user experience with memory persistence using Amazon Q Business
AWS MLAccess control for vector stores using metadata filtering with Knowledge Bases for Amazon Bedrock
Implementing access control with metadata filtering in Knowledge Bases for Amazon Bedrock for enhanced data privacy and security in RAG applications