Hanh Brown hosts this podcast episode about Retrieval Augmented Generation (RAG) and its potential to help businesses in healthcare, legal, real estate, and other data-heavy industries. RAG combines large language models like GPT-4 with specific business data to provide accurate, personalized responses to customer questions. It can help businesses efficiently use their data, saving time and resources. For example, a healthcare chatbot with RAG could give personalized answers about Medicare coverage, and a real estate system could match listings to buyer preferences.

The episode also discusses Azure AI services that can help implement RAG. Hanh encourages listeners to embrace this technology to fully leverage their data and improve efficiency.

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