Building a Prompt Evaluation System with Spring AI & Claude— Part 1
Read OriginalThis article introduces prompt evaluation for LLMs, comparing it to unit testing in software development. It explains why evaluation is critical for accuracy, reducing hallucinations, comparing models, and validating production readiness. The workflow includes building a dataset, defining graders (rule-based, LLM-based, or human), running evaluations, analyzing results, and iterating. The article then begins demonstrating how to implement such a system using Spring AI and Claude, making it a technical tutorial for developers working with AI prompts.
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Building a Prompt Evaluation System with Spring AI & Claude— Part 1
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