21:I[4606,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 23:I[1895,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 22:T672,

What is 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 Confident AI?

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 Core Features

LLM Evaluation

LLM Observability

Regression Testing

Component-Level Evaluation

Dataset Management

Prompt Management

Tracing Observability

Confident AI's Use Cases

#1 Benchmark LLM systems to optimize prompts and models.

#2 Monitor, trace, and A/B test LLM applications in production.

#3 Mitigate LLM regressions by running unit tests in CI/CD pipelines.

#4 Evaluate and debug individual components of an LLM pipeline.

Confident AI

📋Introduction

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