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Confident AI

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Last updated: August 8, 2024

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What is Confident AI?

Confident AI offers an advanced evaluation infrastructure for large language models (LLMs) that helps businesses efficiently justify and deploy their LLMs into production. Their key offering, DeepEval, simplifies unit testing of LLMs with an easy-to-use toolkit requiring less than 10 lines of code. The platform significantly reduces the time to production while providing comprehensive metrics, analytics, and features like advanced diff tracking and ground truth benchmarking. Confident AI ensures robust evaluation, optimal configuration, and confidence in LLM performance.

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Confident AI's Top Features

Unit test LLMs in under 10 lines of code

Advanced diff tracking

Ground truth benchmarking

Comprehensive analytics platform

Over 12 open-source evaluation metrics

Reduced time to production by 2.4x

High client satisfaction

75+ client testimonials

Detailed monitoring

A/B testing functionality

Frequently asked questions about Confident AI

Confident AI's pricing

Free

$0/ monthly

  • Limited to 1 user seat
  • No real-time evals
  • Up to 2 evaluation datasets/project
  • Read more
Get started

Starter

$29.99/ monthly

  • Starting from 2 user seats
  • Starting from 10K real-time evals/month
  • Provide your own LLM for evals
  • Read more
Get started

Premium

$0/ custom

  • Starting from 8 user seats
  • Starting from 50K real-time evals/month
  • Provide your own LLM for evals
  • Read more
Get started

Enterprise

$0/ custom

  • Unlimited user seats
  • Unlimited real-time evaluations
  • Proprietary LLM for evals
  • Read more
Get started

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Use Cases

AI Developers

Utilize DeepEval to perform unit tests on LLMs quickly and efficiently.

Businesses

Benchmark LLM performance to justify production deployment using Confident AI's analytics and ground truths.

Data Scientists

Leverage comprehensive metrics and advanced diff tracking to optimize LLM configurations.

Product Managers

Monitor and report on LLM performance using the platform’s detailed analytics and dashboards.

ML Engineers

Streamline LLM evaluation and deployment processes, reducing the time to production by 2.4x.

Researchers

Use Confident AI to experiment with different LLM configurations and metrics for improved outcomes.

Tech Leads

Ensure high confidence in LLM performance before deployment, backed by thorough evaluations.

Quality Assurance Teams

Validate LLM outputs against ground truths and reduce breaking changes with reliable testing.

Operations Teams

Utilize A/B testing to choose optimal workflows and improve overall LLM performance.

Consultants

Provide data-driven recommendations for clients leveraging deep analytics and performance benchmarks.

Learn to use AI like a Pro

Get the latest AI workflows to boost your productivity and business performance, delivered weekly by expert consultants. Enjoy step-by-step guides, weekly Q&A sessions, and full access to our AI workflow archive.

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Canva Logo
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