Managing and collaborating on prompts as a critical artifact

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The prompt is a new artifact that has a significant impact on the end application, necessitating the same level of versioning and management as normal code. It also requires the right workflows and collaboration to enable non-technical individuals to work with engineers. Additionally, measuring performance of prompts is subjective, unlike traditional code or machine learning where metrics and ground truth data sets are used for measurement.

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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