Building a Collaborative Tool for Developers and Non-Technical Users

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The chapter discusses the process of building a tool that caters to both developers and non-technical individuals, drawing an analogy to Figma. It emphasizes the importance of understanding customer problems and expresses excitement about inclusivity in AI development.

Small changes in prompts can create large changes in the output behavior of generative AI models. Add to that the confusion around proper evaluation of LLM applications, and you have a recipe for confusion and frustration. Raza and the Humanloop team have been diving into these problems, and, in this episode, Raza helps us understand how non-technical prompt engineers can productively collaborate with technical software engineers while building AI-driven apps.

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