Fiddler Trust Service for LLM Monitoring

Fiddler is the pioneer in AI Observability — the foundation you need to operationalize trustworthy large language models (LLMs) at scale. The Fiddler AI Observability platform helps model development, platform engineering, and data science teams evaluate, monitor, analyze, and improve LLM applications. 

As part of the Fiddler AI Observability platform, the Fiddler Trust Service helps enterprises quickly detect and monitor hallucinations, toxicity, jailbreak, PII leakage, and other LLM metrics, ensuring production LLM applications are accurate, safe, and secure.

Fiddler Trust Models are

*Fiddler Trust Models are benchmarked against publicly available datasets. 

Why Leaders Choose Fiddler Trust Service for LLM Monitoring

• Cost Effective: Reduced costs using Fiddler’s Trust Models vs. closed-source LLMs for analytics and guardrails at scale
• Fast: High-throughput for monitoring prompts and responses; Low latency for runtime-path guardrails
• Safe: Monitor LLMs while ensuring data protection even in air gapped environments
• Scalable: Monitor LLMs with higher traffic and inferences 

Fiddler Trust Service: Building Trust into LLM Applications

LLMs operate on unstructured text data, where LLM response accuracy is highly context-dependent, making it more nuanced to monitor than structured data. An LLM response deemed appropriate in one context may be incorrect in another. Additionally human feedback is sparse if available at all. Therefore, monitoring the quality, correctness, and safety of LLM responses requires sophisticated LLM monitoring techniques. 

The Fiddler Trust Service provides enterprises with the ability to quickly, accurately, and safely monitor LLM applications at scale. It helps enterprises detect hallucinations and PII leakage, prevent prompt injection attacks, and more, safeguarding LLM applications and end users. Behind the Fiddler Trust Service are Trust Scores, a set of metrics that evaluate multiple trust-related dimensions of prompts and responses, including: 

• faithfulness
• legality
• hateful
• racist
• sexist
• violent
• harassing
• sexual
• harmful
• unethical
• jailbreaking content

Fiddler Trust Models, our proprietary fine-tuned models, can quickly calculate Trust Scores on user prompts and LLM responses for LLM metrics monitoring. Unlike other monitoring methods, Fiddler Trust Models can be privately deployed, and are optimized for speed, safety, cost-effectiveness, and task-specific accuracy, delivering near real-time calculations. This efficiency enables enterprises to effectively scale their GenAI and LLM deployments across their organization. Fiddler Trust Models also provide customization to easily accommodate application specific and proprietary use cases. 

The Fiddler Trust Service Accurately Monitors a Comprehensive List of LLM Metrics

Hallucination Metrics

• Faithfulness / Groundedness
• Answer relevance
• Context relevance
• Groundedness
• Conciseness
• Coherence

Safety Metrics

• PII
• Toxicity
• Jailbreak
• Sentiment
• Profanity
• Regex match
• Topic
• Banned keywords
• Language detection

Fiddler Supports Popular and Advanced Generative AI Use Cases

• AI Chatbots: Boost investor value and confidence with accurate financial advice and recommendations from AI chatbots. 
• Internal Copilot Applications: Enhance employee productivity and boost their confidence in decision-making.
• Compliance and Risk Management: Detect adversarial attacks and data leakage.
• Content Summarization: Deliver highly accurate summaries for your users.
• LLM Cost Management: Increase LLM operational efficiency gains.