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From No-Code to AI-Powered Apps with Airtable’s Howie Liu

Gradient Dissent: Conversations on AI

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Embracing Experimentation with LLMs

This chapter delves into the shift from deterministic software development to a more experimental approach influenced by large language models. It underscores the importance of local experimentation within organizations and the need for user-friendly tools that empower various functions to explore AI solutions effectively.

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