As a data engineer, you’re likely no stranger to the buzz around AI and machine learning. But how can you actually apply these technologies to your daily work? In a recent podcast episode, Simon Willison, creator of Datasette and co-creator of Django, shares practical examples of how he’s using Large Language Models (LLMs) and tooling in real workflows.
From spotting opportunities where AI can help to creating a 150-line SQL query for alt-text, Simon’s examples are refreshingly free of hype and focused on real-world applications. Topics include the economic value of structured data extraction, the science fiction of the 10X productivity boost, and even what pelicans and bicycles have to do with AI.
Whether you’re exploring new ways to apply LLMs to your work or simply trying to explain your work to non-technical folks, this episode is a must-listen. And, as a bonus, the conversation is relevant regardless of the database you work with.
Check out the episode, ‘AI for data engineers with Simon Willison,’ on the Talking Postgres podcast, available on your favorite podcast platform or YouTube.