From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 1

Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

Boost post-call analytics with Amazon Q in QuickSight

Brilliant words, brilliant writing: Using AWS AI chips to quickly deploy Meta LLama 3-powered applications

Using Amazon Q Business with AWS HealthScribe to gain insights from patient consultations

Map Earth’s vegetation in under 20 minutes with Amazon SageMaker

Improve LLM application robustness with Amazon Bedrock Guardrails and Amazon Bedrock Agents

Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

Implement model-independent safety measures with Amazon Bedrock Guardrails

Build a serverless voice-based contextual chatbot for people with disabilities using Amazon Bedrock