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solutions/security/ai/large-language-model-performance-matrix.md

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This page describes the performance of various large language models (LLMs) for different use cases in {{elastic-sec}}, based on our internal testing. To learn more about these use cases, refer to [Attack discovery](/solutions/security/ai/attack-discovery.md) or [AI Assistant](/solutions/security/ai/ai-assistant.md).
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`Excellent` is the best rating, followed by `Great`, then by `Good`, and finally by `Poor`.
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`Excellent` is the best rating, followed by `Great`, then by `Good`, and finally by `Poor`. Models rated `Excellent` or `Great` should produce quality results. Models rated `Good` or `Poor` are not recommended for that use case.
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