When most data scientists think about using LLMs and generative AI, the first thing that springs to mind is writing code faster. While that's certainly useful, if it's the only application you're exploring, you're missing some of the most powerful opportunities to enhance your effectiveness as a data scientist.

In this episode, Colin Priest joins Dr. Genevieve Hayes to explore advanced LLM applications that go far beyond code generation, including techniques for processing unstructured data, improving stakeholder communication, and identifying blind spots in your analysis.

You'll learn:

1. How to use LLMs to extract structured insights from messy unstructured data [02:50]
2. The role-playing technique that helps you practice difficult stakeholder conversations [14:12]
3. Why using multiple LLMs helps reduce AI hallucinations [20:38]
4. A step-by-step approach for integrating LLMs into your workflow safely [25:52]

Guest Bio

Colin Priest is an actuary, data scientist and educator who has held several CEO and general management roles where he has championed data-driven initiatives. He now lectures at UNSW, where he specialises in adapting education for the age of AI.

Links

• Connect with Colin on LinkedIn
• Connect with Genevieve on LinkedIn
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