DeepEval Tutorial: Unit Testing LLM AI applications

Unlock the power of DeepEval, the open-source LLM testing framework that's revolutionizing how developers build, test, and trust large language models. In this comprehensive tutorial, we dive deep into DeepEval, often called the "pytest for LLMs," to ensure your AI applications are accurate, safe, and reliable before deployment. Whether you're developing chatbots, RAG pipelines, or agentic systems, DeepEval provides a plug-and-play toolkit to measure everything from accuracy to hallucination and even toxicity. We'll walk you through the essential steps, from initial setup to running advanced test cases. What you'll learn in this video: • Introduction to DeepEval: Understand why DeepEval is crucial for evaluating LLMs and its wide adoption. • Installation & Setup: Get started with DeepEval, including setting up your development environment with UV and VS Code. • Google Gemini Integration: Learn how to configure Google's Gemini 2.0 Flash model via CLI for seamless testing. • Crafting LLM Test Cases: Discover the fundamental structure of DeepEval tests, including setup, execution, and assertion, similar to JUnit. • Mastering Answer Relevancy: See a practical example of how to use the Answer Relevancy Metric to evaluate the accuracy of your LLM's responses and prevent hallucination. • Detecting Hallucination: Explore detailed examples using the Hallucination Metric, demonstrating how to identify when your LLM generates factually incorrect information, even with provided context. • Utilizing DeepEval's Metrics: Get an overview of the more than 14 different types of evaluation metrics available in DeepEval's documentation for various categories like RAG and agentic systems Websites in this video https://github.com/confident-ai/deepeval https://youtu.be/IuWwlVCv5Ak?si=6hpH312S-zRpz7Li Questions Answered What is DeepEval What are different frameworks to test LLM applications How to unit test LLM application Commands used in this video uv unit uv add deepeval uv add pandas numpy pytest uv run python uv add google-generativeai uv run deepeval set-gemini --model-name=gemini-2.0-flash --gemini-api-key=YOUR KEY Code https://github.com/toashishagarwal/demoDeepEval Follow me- http://instagram.com/codersAcademyAI #Python #MachineLearning #AI #GenerativeAI #DeepLearning #datascience #ChatGPT #DeepEval #LLMUnittesting #unittesting Chapters 0:01 Introduction 1:21 How to setup development environment for DeepEval 3:33 How to setup Gemini model and API key via CLI in DeepEval 3:56 Demo: Answer Relevancy Metrics usage & Code walkthrough 5:35 Types of Metrics in DeepEval 9:22 Demo: Hallucination Metrics usage & Code walkthrough - Fictional Example 16:20 Demo: Hallucination Metrics usage & Code walkthrough - Factual Example 19:57 Conclusion