RAG-LLM Evaluation & Test Automation for Beginners

🎓 Course Title: RAG-LLM Evaluation & Test Automation for Beginners 📚 Headline: Master the Art of Evaluating & Testing AI-based Systems with RAGAS, Python, and Pytest Framework

🚀 Course Description:

In today's AI-driven landscape, Large Language Models (LLMs) like GPT-3 have become integral to many businesses. They enhance customer service, automate responses, and even create content. But how do engineers ensure these sophisticated systems perform as expected? The answer lies in tailored evaluation and test automation methodologies.

🔍 Dive into the World of LLM Evaluation: This course is designed for beginners who want to understand and effectively evaluate AI-based RAG-LLMs using the RAGAS framework and Pytest. 🚀 From the fundamentals of LLM architecture to in-depth evaluation techniques, this course covers it all.

🛠️ What You Will Learn:

• High Level Overview on Large Language Models (LLM): Get a clear picture of how LLMs are built and function.

• Understanding Custom LLM’s Built with Retrieval Augmented Generation (RAG) Architecture: Learn about the RAG framework and its significance in AI model development.

• Common Benchmarks/Metrics for Evaluating RAG-based LLMs: Explore and understand various metrics that define the performance of LLMs.

• Introduction to RAGAS Evaluation Framework: Discover how RAGAS can revolutionize your approach to evaluating LLMs.

• Practical Scripting for Automation and Assertions: Craft scripts that automate the evaluation process, utilizing Pytest's powerful assertion capabilities.

• Automating Single Turn & Multi Turn Interactions with RAGAS Framework: Experience hands-on learning by automating different interactions with LLMs.

• Generating Test Data for Evaluating Metrics of LLMs using RAGAS Framework: Learn how to build datasets that are crucial for accurate metric evaluations.

By the end of this course, you'll be equipped to create a comprehensive RAGAS Pytest Evaluation Framework to measure the metrics of custom-built RAG-LLMs.

📝 Important Note: This course focuses on the Top 7 Metrics essential for evaluating and testing LLMs. The strategies you'll learn can be applied to any other metric evaluations.

👩‍💻 Hands-On Experience: The course provides a practice RAG-LLM for your hands-on experiments. To access OpenAI API's, participants will need a basic subscription (minimal 10$ credit will suffice) to engage with real-world applications.

🧠 Course Prerequisites:

• Python & Pytest Basics: A solid understanding of Python and Pytest is crucial for grasping the course content. We dedicated sections in this course to ensure you're up to speed.

• Basic Knowledge on API Testing: Familiarity with API testing concepts is beneficial before diving into the practical aspects of the course.

Embark on a journey to master the evaluation and test automation for RAG-LLMs using the RAGAS framework in conjunction with Python and Pytest. Whether you're an aspiring AI tester, a software engineer, or simply curious about AI systems, this course will provide you with the tools and knowledge needed to evaluate and test LLMs with confidence. Sign up now to join Rahul Shetty and start your journey into the world of AI-based system evaluations! 🌟