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Digital Matters Podcast: Retrieval Augmented Generation Use Cases


06 Jun 2024 | Noel Ady

Welcome to Digital Matters, the gravity9 podcast where we dive deep into the latest trends, insights, and innovations surrounding the digital evolution of your organization. Join us as we explore captivating conversations with industry experts, thought leaders, and our own gravity9 visionaries, to provide you with invaluable insights and actionable strategies to thrive in today’s fast-paced digital landscape.

Hosted by: Partner, Noel Ady, with Tom Maruszak and Loghman Zadeh

Welcome to episode three of the gravity9 series on Artificial Intelligence hosted by gravity9 founding Partner Noel Ady.

gravity9 AI Lead, Loghman Zedah joins the conversation as co-host. Loghman has over 20 years of AI experience, working within a diverse range of industries creating machine learning models and using deep learning techniques to deliver insights and solve organizational challenges.

Also joining the discussion is gravity9 Partner, Solutions Architect and all-round visionary, Tom Maruszak. Tom is at the forefront of designing cutting-edge, scalable solutions that revolutionize the digital landscape working with clients across industries.

In this episode, Noel, Loghman and Tom discuss Retrieval Augmented Generation or RAG. RAG, is an approach in natural language processing that combines the strengths of retrieval-based and generation-based models.  This discussion breaks down the fundamentals of RAG while providing real-life use cases and organizational benefits.

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