GEPA: A Measurable Genetic-Pareto Approach to Prompt Engineering for Security Agents
By
Adam Chester
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Summary
SpecterOps' GhostWorks initiative explores a measurable approach to prompt engineering for LLM-based security agents. The post introduces GEPA (Genetic-Pareto selection), a method that uses scored evaluations and genetic algorithms to quantitatively prove prompt modifications improve performance, rather than relying on guesswork. The article provides real code and results to demonstrate how this technique can bring rigor and measurability to prompt engineering in security contexts.
Key quotes
· 3 pulledOne of the things that has been winding me up about working with LLMs is how unmeasurable prompt modifications can be.
Stop hoping your prompt edits helped. GEPA uses Genetic-Pareto selection and scored evaluations to prove it.
Real code, real results.
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