Fiddler Trust Service for LLM Application Scoring and Monitoring

Ensure safety, scalability, and cost-efficiency in large language model (LLM) applications in production.
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Monitoring chatbot models with Fiddler Trust Service
Industry Leaders’ Choice for AI Observability

Fiddler Trust Service Simplifies the Complexities of LLM Monitoring

As part of the Fiddler AI Observability platform, the Fiddler Trust Service is an enterprise-grade solution that enables data science, app development, and engineering teams to transition LLMs from evaluation to production, enabling high quality monitoring of LLM prompts and responses in live environments.

Powering the Fiddler Trust Service are proprietary, fine-tuned Fiddler Trust Models, designed for task-specific, high accuracy scoring of LLM prompts and responses with low latency. These models are built to handle higher traffic and inferences as LLM deployments scale, ensuring data protection in all environments — including air gapped deployments — and offering a cost-effective alternative to closed sourced models.

Fiddler Trust Models enable both offline diagnostics and real-time run-path guardrails for GenAI use cases by scoring various trust-related dimensions, including hallucination, toxicity, PII leakage, or prompt injection attacks, among other critical LLM metrics, in prompts and responses.

Fiddler Trust Models are Fast, Cost-Effective, and Accurate

1.5x
Faster*
6x
Cheaper*
50%
More Accurate*
*Fiddler Trust Models are benchmarked against publicly available datasets.
Fiddler Trust Service for LLM scoring and monitoring
Fast
Low latency for LLM prompt and response monitoring.
Secure
Ensures data protection, even in air gapped environments.
Scalable
Handles higher traffic and inference volumes.
Cost Effective
Reduces costs with Fiddler’s Trust Models vs. closed-source LLMs.

Comprehensive LLM Metrics Scoring  

With the Fiddler Trust Service, you can score an extensive set of metrics, ensuring your LLM applications deliver the most advanced LLM use cases and stringent business demands.

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

Advanced Diagnostics for Improving LLM Applications

When the Fiddler Trust Models detect prompts and responses for issues like faithfulness, toxicity, jailbreaking attempts, or other concerns, AI teams can: 

Fiddler line chart scores trust-related dimensions to detect LLM issue. In this case, it's showing jailbreaking

Score LLM Metrics with Precision

  • The Fiddler Trust Service, powered by Trust Models, scores trust-related dimensions to detect LLM issues such as hallucinations, toxicity, and prompt injection attacks.
  • Fiddler Trust Models are fast, secure, scalable, and cost-effective, designed to meet the most advanced enterprise LLM use cases.
  • Trust Models leverage extensive training across thousands of datasets to provide accurate LLM monitoring and early threat detection, eliminating the need for manual dataset uploads.
Deep dive into Fiddler Trust Service 
3D UMAP visualization showing highlighted data points with ChatGPT DAN responses

Identify the Root Cause of LLM Issues

  • Fiddler’s 3D UMAP visualization enables in-depth data exploration.
  • Isolate problematic prompts and responses that show hallucinated, toxic, and jailbreaking content.
  • Overlay segments and apply filters to gain deeper insights on LLM issues.
Learn how to safeguard LLMs
Fiddler’s Root Cause Analysis uncovers full set of flagged prompts and responses within a specific time period

Improve LLM Applications with Actionable Diagnostics

  • Use Fiddler’s Root Cause Analysis to uncover the full set of flagged prompts and responses within a specific time period.
  • Share this list with Model Development and Application teams to review and enhance the LLM application, preventing future issues.
Learn more about LLM monitoring
Dashboard showing LLM applications monitoring charts

Streamlined Visibility into LLM Applications

  • Navigate seamlessly from alerts to root cause analysis with an intuitive interface that connects technical insights with business impact.
  • Visualize LLM metrics with customized dashboards and reports.
  • Track the key LLM metrics that matter most for your use case and stakeholders, driving business-critical KPIs.
Analyze LLMs using custom dashboards and reports

LLM Scoring for High-Impact Use Cases

AI Chatbot Monitoring

Deliver accurate financial advice and boost investor confidence.

Internal Copilot Monitoring

Enhance decision-making and employee productivity.

Risk and Compliance Management

Detect and mitigate adversarial attacks and data leakage.

Content Summarization

Ensure your content is accurate and relevant.

LLM Cost Management

Boost LLM operational efficiency and reduce costs.

Featured Resources

Guide
10 Lessons on How to Build a Chatbot
Blog
Building RAG-based AI Applications with DataStax and Fiddler
Blog
Building Enterprise-Grade LLM Observability for Amazon Bedrock with Fiddler
Data Sheet
Fiddler Trust Service for LLM Monitoring
Data Sheet
Fiddler for Insurance
Data Sheet
Fiddler for Financial Services