Generative AI and RAG in the Service of Productivity
summary
Airbus shares practical experience applying generative AI and retrieval-augmented generation (RAG) to improve productivity in aerospace manufacturing, presenting specific use cases that were optimized with these techniques. The talk describes architectural patterns based on RAG and explains how selection of AWS services evolved in response to project challenges and requirements.
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chapters (9)
- 0:00Introduction
- 1:50Customizing LLMs
- 4:58RAG key concepts
- 13:48Reference RAG architecture
- 14:10Airbus feedback
- 26:15Bedrock challenges and solutions
- 31:12Live demo
- 35:43Responsible AI with Guardrails
- 38:35Conclusion
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