Quality over Quantity in Prompt Evaluation

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Prompt evaluation is unique to each task and application, with the focus on real-world application rather than generic datasets. It is acceptable to change opinions as learning progresses. A key consideration is establishing ground truth for data sets to compare and evaluate AI model performance accurately. Building a small test data set allows for a methodical approach to prompt evaluation and engineering.

Daniel & Chris explore the state of the art in prompt engineering with Jared Zoneraich, the founder of PromptLayer. PromptLayer is the first platform built specifically for prompt engineering. It can visually manage prompts, evaluate models, log LLM requests, search usage history, and help your organization collaborate as a team. Jared provides expert guidance in how to be implement prompt engineering, but also illustrates how we got here, and where we’re likely to go next.

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