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Introduction to Retrieval Augmented Generation (RAG)
Duke University via Coursera
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Overview
"Introduction to Retrieval Augmented Generation (RAG)" provides a foundational understanding of one of the most powerful techniques in modern natural language processing. This course is designed for AI enthusiasts, developers, and data scientists who want to enhance large language models (LLMs) with dynamic, real-time access to external knowledge sources. Learners will explore the core principles behind RAG, a hybrid AI model architecture that combines traditional retrieval-based methods with generative capabilities of models like GPT. This approach allows systems to generate more...
Syllabus
- Project Overview
- In this project you learn how to implement RAG
Duke University via Coursera
5 hours 9 minutes
Paid Certificate Available
English
On-Demand
Intermediate
Instructor
Alfredo Deza
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