Fiddler AI

What is Fiddler AI?

Fiddler AI Observability is an advanced platform designed to enhance the transparency and trustworthiness of AI systems. It provides organizations with the tools necessary to monitor and analyze AI models effectively, ensuring that they operate at peak performance while maintaining ethical standards. The platform focuses on delivering comprehensive observability across various AI applications, including large language models (LLMs) and machine learning (ML) systems.

Key capabilities and benefits of Fiddler AI Observability include:

Agentic Observability: Unified multi-agent visibility with hierarchical analysis and insights.

Fiddler Trust Service: Guardrails and monitoring for LLM applications using Fiddler Trust Models.

LLM Observability: Comprehensive AI observability for end-to-end LLM operations.

ML Observability: Ensuring high-performing AI solutions at scale.

Model Monitoring: Detecting model drift, assessing performance and integrity, and setting alerts.

NLP and CV Monitoring: Identifying anomalies in unstructured models.

Explainable AI: Understanding the 'why' and 'how' behind AI models.

Analytics: Connecting predictions with business context and value.

Responsible AI: Mitigating bias and fostering a responsible AI culture.

Fiddler AI Features

Fiddler AI Observability offers a comprehensive suite of features designed to enhance the monitoring and management of AI models. Key capabilities include Agentic Observability, which provides unified multi-agent visibility with hierarchical analysis and insights, and the Fiddler Trust Service that ensures guardrails and monitoring for LLM applications through Fiddler Trust Models. The platform supports end-to-end LLMOps and delivers high-performing AI solutions at scale.

Additional functionalities include Model Monitoring to detect model drift, assess performance and integrity, and set alerts. Fiddler also offers NLP and CV Monitoring to uncover anomalies in unstructured models, along with Explainable AI features that help users understand the 'why' and 'how' behind their models. The platform connects predictions with business context through advanced analytics, while promoting responsible AI practices to mitigate bias and foster a responsible AI culture.

Unified multi-agent visibility and hierarchical analysis

Guardrails and monitoring for LLM applications

End-to-end LLMOps support

Model drift detection and performance assessment

Anomaly monitoring in unstructured models

Explainable AI for model transparency

Business-aligned analytics

Responsible AI practices to mitigate bias

Why Fiddler AI?

Fiddler AI Observability offers a comprehensive suite of capabilities designed to enhance the performance and reliability of AI systems. By providing unified multi-agent visibility and hierarchical analysis, organizations can gain critical insights into their AI operations. This observability is essential for ensuring that AI models are not only effective but also trustworthy, addressing the common concerns surrounding AI transparency and accountability.

Some of the key benefits of using Fiddler AI include:

Model Monitoring: Detect model drift, assess performance and integrity, and set alerts to maintain optimal functionality.

NLP and CV Monitoring: Uncover anomalies in unstructured models to ensure accuracy and reliability.

Explainable AI: Understand the ‘why’ and ‘how’ behind your models, fostering trust and transparency.

Responsible AI: Mitigate bias and build a responsible AI culture within your organization.

Analytics: Connect predictions with context to align AI outcomes with business objectives.

How to Use Fiddler AI

To get started with Fiddler AI Observability, users can explore a variety of features designed to enhance AI model performance and transparency. The platform offers a comprehensive suite of tools that allow for unified multi-agent visibility, model monitoring, and analytics that connect predictions to business value.

Key features of Fiddler AI Observability include:

Agentic Observability for hierarchical analysis and insights.

Fiddler Trust Service for monitoring LLM applications with built-in guardrails.

Model Monitoring to detect drift and assess performance.

NLP and CV Monitoring to uncover anomalies in unstructured models.

Explainable AI to understand the reasoning behind model predictions.

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