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HPE Developer Munch & Learn: Enhancing NLP with Retrieval-Augmented Generation: A Practical Demonstration
July 17 @ 10:00 AM - 11:00 AM
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In the evolving landscape of Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG) stands out as a powerful technique that enhances the NLP application by incorporating relevant external information. This presentation delves into the fundamentals and applications of RAG, providing a comprehensive overview of how it integrates retrieval mechanisms with generative capabilities to produce more accurate and contextually aware responses.
Following the theoretical overview, we will transition into a live demonstration showcasing the practical usage of RAG. This hands-on demo will illustrate the process of augmenting a generative model with external knowledge sources, showcasing how RAG improves the relevance and quality of generated outputs in real-time applications.
Speaker
Rajesh P E, Principal Cloud Developer, CTO Innovation, HPE U
mang Kedia, Senior Cloud Developer, CTO Innovation, HPE