Digital Matters Podcast: Retrieval Augmented Generation Use Cases

06/06/24 • 30 min

RAG, is an approach in natural language processing that combines the strengths of retrieval-based and generation-based models. In this episode, Noel, Loghman and Tom break down the fundamentals of RAG while provide real-life use cases and organizational benefits.

Previous Episode

The impact of Large Language Models (LLM's) on information consumption

Welcome to episode two of the gravity9 series on Artificial Intelligence hosted by gravity9 founding Partner Noel Ady.
gravity9 AI Lead, Loghman Zadeh joins the conversation as co-host. Loghman has over 20 years 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 address how the advancements in AI, particularly in natural language processing and large language models, are having significant impacts on the way we interact with technology and consume information.

Next Episode

Why you really can trust in AI

Welcome to Digital Matters, the gravity9 podcast where we dive deep into the latest trends, insights, and innovations surrounding the digital evolution of your organisation. Host and gravity9 founder Noel Ady is joined by gravity9 AI Lead, Loghman Zadeh and we welcome a very special guest all the way from Silicon Valley, Viroo Mirji - Data and AI Lead for Microsoft.
In this episode, Noel, Loghmand and Viroo discuss the issue of responsibility, trust, and ethics to ultimately determine why you really can trust in AI.