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move red-teaming intro to features and add short desc for red-teaming in lls tutorials (#76)
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docs/modules/ROOT/nav.adoc

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** xref:drift-metrics.adoc[]
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** xref:language-metrics.adoc[]
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** xref:local-explainers.adoc[]
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** xref:red-teaming-introduction.adoc[Red Teaming]
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* Tutorials
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** xref:installing-opendatahub.adoc[]
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** xref:bias-monitoring.adoc[]
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*** xref:lm-eval-tutorial-toxicity.adoc[Toxicity Measurement]
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** xref:gorch-tutorial.adoc[]
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*** xref:hf-serving-runtime-tutorial.adoc[Using Hugging Face models with GuardrailsOrchestrator]
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** xref:red-teaming-introduction.adoc[Introduction to Red-Teaming]
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** xref:tutorials-llama-stack-section.adoc[]
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*** xref:lmeval-lls-tutorial.adoc[Getting Started with LM-Eval on Llama-Stack]
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*** xref:trustyai-fms-lls-tutorial.adoc[Getting started with trustyai_fms and llama-stack]

docs/modules/ROOT/pages/features.adoc

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== Evaluation
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* xref:feature-lm-evaluation.adoc[LM Evaluation]
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== Red Teaming
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* xref:red-teaming-introduction.adoc[Red Teaming Guide]

docs/modules/ROOT/pages/tutorials-llama-stack-section.adoc

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* xref:lmeval-lls-tutorial-custom-data.adoc[Running Custom Evaluations with LMEval Llama Stack External Eval Provider] - Learn how to evaluate your language model using the LMEval Llama Stack External Eval Provider over a custom task
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* xref:trustyai-fms-lls-tutorial.adoc[Using trustyai_fms with Llama Stack] - Learn how to apply content filtering to your language model using the trustyai_fms Llama Stack External Safety Provider
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* xref:garak-lls-inline.adoc[Red-Teaming with Llama Stack Garak (Inline)] - Learn how to perform security testing of Large Language Models using the TrustyAI Garak provider in Llama Stack's inline mode.
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* xref:garak-lls-shields.adoc[Red-Teaming with Shields: Measuring Guardrail Effectiveness] - Learn how to evaluate the effectiveness of AI safety shields and guardrails using the Llama Stack TrustyAI Garak provider.
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* xref:garak-lls-remote.adoc[Red-Teaming with Llama Stack Garak on Kubeflow Pipelines (Remote)] - Learn how to run the same security testing from the previous red-teaming tutorials using Kubeflow Pipelines for remote execution.

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