Red Teaming

Red Teaming helps you find, evaluate and fix your AI model’s vulnerabilities and weaknesses.

Red Teaming: Keep your LLM on side

An example LLM fine-tuning workflow showing a series of dangerous or illegal AI model prompts.

Red Teaming tries to force an LLM to do things that it shouldn’t, like providing illegal or dangerous information. Our expert AI Red Team will stage an attack on your AI model (known as a “prompt injection”) to help you avoid litigation and keep your users safe.

How Red Teaming Works

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Spot

Identify when your model could provide unsuitable or illogical information
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Assess

Evaluate your model’s weaknesses through our experts’ prompts
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Secure

Update your model for safer, more logical answers
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Excellent!

Your model has advanced

LLM Fine-tuning Services

See all of our LLM Fine-tuning services

Fine-tuning Data Generation

Custom multimodal datasets for context-driven model tuning

Retrieval Augmented Generation

Add real-time knowledge for smarter, more accurate responses

RLHF & DPO

Human-guided alignment for preferred and relevant output

Model Stumping

Stress-test models with tough prompts to uncover failure points

LLM Benchmarks

Quantitative evaluation using standard and custom metrics

A/B(x) Testing

Compare model variants in real-world use for optimal versioning

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