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The Data Stack Show

The PRQL: AI Roundtable: Putting AI in Historical Context and Real-Life Learnings Through Prototyping, with Eric, John, and Matt

Aug 5, 2024
In this roundtable, Eric, John, and Matt dive into the fascinating world of AI, sharing their insights and experiences. Eric discusses the current landscape of artificial intelligence and its implications. John highlights the balance between excitement and caution in navigating large language models. Meanwhile, Matt reveals his real-life experiences with AI prototyping, emphasizing the practical applications and challenges. Together, they illustrate how historical context informs our understanding of AI today.
02:00

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Quick takeaways

  • The podcast highlights the need to navigate the gap between the hype of large language models and their real-world implementation challenges.
  • It emphasizes the contrast between single player and multiplayer modes, illustrating the complexities of deploying LLMs in multi-user environments.

Deep dives

Exploring LLMs and Their Use Cases

The discussion centers around the landscape of large language models (LLMs) and the contrast between the hype surrounding them and the actual challenges they present. The conversation emphasizes the need to distinguish between theoretical applications of LLMs and their practical implementations in real-world scenarios. There is a focus on identifying viable use cases where LLMs can be effectively utilized, beyond just experimental or isolated applications. This exploration aims to shed light on the complexities involved in deploying LLM technology in environments with multiple users, compared to individual or controlled settings.

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