LLM Response Evaluation with Spring AI: Building LLM-as-a-Judge Using Recursive Advisors

The challenge of evaluating Large Language Model LLM outputs is critical for notoriously non-deterministic AI applications, especially as they move into production. Traditional metrics like ROUGE and BLEU fall short when assessing the nuanced, contextual responses that modern LLMs produce. Human...

Create Self-Improving AI Agents Using Spring AI Recursive Advisors

The Spring AI ChatClient offers a fluent API for communicating with an AI model. The fluent API provides methods for building the constituent parts of a prompt that gets passed to the AI model as input. Advisors are a key part of the fluent API that intercept, modify, and enhance AI-driven...