201: AI Real-Talk: Uncovering the Good, Bad and Ugly Through Prototyping with Eric, John, and Matt

This week on The Data Stack Show, it’s a RudderStack round table as Eric and John are joined by Matthew Kelliher-Gibson. Together they delve into the current state and future potential of large language models (LLMs) and artificial intelligence (AI). The group discusses the hype versus reality of LLMs, their practical applications, and the challenges of implementing them in production environments. Drawing parallels to the early days of the iPhone, they explore the transformative potential of LLMs while acknowledging their limitations. The episode provides insights into AI's evolving landscape, emphasizing the importance of understanding token limits, practical use cases, the integration of LLMs with customer data, and more.

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Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.