Data Architectures for Generative AI
summary
Shows AWS reference data architectures for powering generative AI with company data, focusing on Retrieval-Augmented Generation (RAG) and model adaptation approaches like fine-tuning and pre-training on AWS services.
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chapters (10)
- 0:00Introduction
- 3:11Why data is crucial
- 9:25Adapting model methods
- 11:51RAG by Vincent
- 17:28Reference architecture
- 23:50Data backend and ingestion
- 29:48Fine-tuning and training
- 33:20Why choose AWS
- 37:53AWS support programs
- 39:16Conclusion and Q&A
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