Confident AI

Confident AI is an all-in-one LLM evaluation platform built by the creators of DeepEval. It offers 14+ metrics to run LLM experiments, manage datasets, monitor performance, and integrate human feedback to automatically improve LLM applications. It works with DeepEval, an open-source framework, and supports any use case. Engineering teams use Confident AI to benchmark, safeguard, and improve LLM applications with best-in-class metrics and tracing. It provides an opinionated solution to curate datasets, align metrics, and automate LLM testing with tracing, helping teams save time, cut inference costs, and convince stakeholders of AI system improvements.

How to Use

Install DeepEval, choose metrics, plug it into your LLM app, and run an evaluation to generate test reports and debug with traces.

Confident AI's

Key Features

• LLM Evaluation
• LLM Observability
• Regression Testing
• Component-Level Evaluation
• Dataset Management
• Prompt Management
• Tracing Observability

Use Cases

• Benchmark LLM systems to optimize prompts and models.
• Monitor, trace, and A/B test LLM applications in production.
• Mitigate LLM regressions by running unit tests in CI/CD pipelines.
• Evaluate and debug individual components of an LLM pipeline.