Confident AI Howto

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Confident AI is an open-source evaluation infrastructure for LLMs that enables developers to unit test and benchmark AI models with ease.
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Profile of Confident AI
Overview
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What is Confident AI
Features of Confident AI & Use Cases

How to Use Confident AI

Install DeepEval: Run 'pip install -U deepeval' to install the DeepEval library
Import required modules: Import assert_test, metrics, and LLMTestCase from deepeval
Create a test case: Create an LLMTestCase object with input and actual_output
Define evaluation metric: Create a metric object, e.g. HallucinationMetric, with desired parameters
Run assertion: Use assert_test() to evaluate the test case against the metric
Execute tests: Run 'deepeval test run test_file.py' to execute tests
View results: Check test results in console output
Log to Confident AI platform: Use @deepeval.log_hyperparameters decorator to log results to Confident AI
Analyze results: Log into Confident AI platform to view detailed analytics and insights

Confident AI FAQs

Confident AI is a company that provides open-source evaluation infrastructure for Large Language Models (LLMs). They offer DeepEval, a tool that allows developers to unit test LLMs in under 10 lines of code.

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