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Starts 6 June 2025 09:10
Ends 6 June 2025
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RAG in Generative AI: Demystifying Retrieval-Augmented Generation
Demystify RAG technology in generative AI, understanding how it grounds models in verified data to reduce hallucinations while exploring implementation challenges and practical applications in AWS Bedrock.
Pragmatic AI Labs
via YouTube
Pragmatic AI Labs
2484 Courses
45 minutes
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Overview
Demystify RAG technology in generative AI, understanding how it grounds models in verified data to reduce hallucinations while exploring implementation challenges and practical applications in AWS Bedrock.
Syllabus
- Introduction to RAG Technology
- The Mechanism of RAG
- Reducing Hallucinations in Generative Models
- Data Grounding Techniques
- Implementation Challenges
- Practical Applications in AWS Bedrock
- Hands-On Workshop
- Future Directions for RAG in AI
- Course Wrap-Up
Definition and Overview of Retrieval-Augmented Generation (RAG)
Importance of RAG in Generative AI
Retrieval Component: How it Works
Generation Component: Enhancing Models
Understanding Hallucinations in AI
Role of Verified Data in RAG
Methods for Data Grounding in RAG
Challenges in Data Verification and Trustworthiness
Integrating RAG into Existing AI Models
Technical Considerations and Common Pitfalls
Overview of AWS Bedrock Platform
Deploying RAG Models on AWS Bedrock
Case Studies and Success Stories
Setting up a RAG Model in AWS
Experimenting with Data Retrieval and Generation
Emerging Trends and Innovations
Ethical and Societal Implications
Summary of Key Learnings
Resources for Further Study
Subjects
Computer Science
