Confident AI
all-in-one LLM evaluation platform
Listed in categories:
Open SourceArtificial IntelligenceDeveloper Tools
Description
Confident AI is an evaluation infrastructure designed for large language models (LLMs), enabling companies to justify their LLMs for production use. It provides tools for unit testing LLMs, ensuring they behave as expected and allowing users to deploy LLM solutions with confidence.
How to use Confident AI?
Users can evaluate their LLMs by writing and executing test cases in Python, utilizing the provided metrics and analytics to ensure their models are functioning as expected.
Core features of Confident AI:
1️⃣
Open-source and simple to use
2️⃣
24x less time to production
3️⃣
12 metrics available for evaluation
4️⃣
Comprehensive analytics for performance tracking
5️⃣
Advanced diff tracking for optimal LLM configurations
Why could be used Confident AI?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Unit testing LLMs in under 10 lines of code | ✅ | |
| # 2 | Evaluating LLM performance against expected outputs | ✅ | |
| # 3 | Identifying and addressing weaknesses in LLM implementations | ✅ | |
Who developed Confident AI?
Confident AI is built by engineers from reputable companies, focusing on providing robust solutions for LLM evaluation and production readiness.