Course 5 : Structuring and Evaluating Advanced RAG Models

About Course

Explore advanced techniques for structuring RAG models, emphasizing the integration of retrieval mechanisms with generative language models.
Learn architectural frameworks and methodologies for designing RAG models that effectively leverage external knowledge sources.
Gain insights into key metrics and techniques for evaluating the performance of RAG models.
Discover methods for measuring the relevance, coherence, and diversity of generated text in RAG systems.
Engage in practical exercises and case studies to apply learned concepts in structuring and evaluating advanced RAG models effectively.

Techniques for structuring advanced Retrieval-Augmented Generation (RAG) models.
Methods for integrating retrieval mechanisms with generative language models.
Architectural frameworks and methodologies for designing RAG models.
How to leverage external knowledge sources to enhance text generation.
Key metrics and techniques for evaluating the performance of RAG models.
Measures for assessing the relevance, coherence, and diversity of generated text.
Practical application of learned concepts through exercises and case studies.

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