RAG-LLM Evaluation & Test Automation for Beginners
LLMs are everywhere! Every business is building its own custom AI-based RAG-LLMs to improve customer service. But how are engineers testing them? Unlike traditional software testing, AI-based systems need a special methodology for evaluation. This course starts from the ground up, explaining the architecture of how AI systems (LLMs) work behind the scenes. Then, it dives deep into LLM evaluation metrics. This course shows you how to effectively use the RAGAS framework library to evaluate LLM metrics through scripted examples. This allows you to use Pytest assertions to check metric benchmark scores and design a robust LLM Test/evaluation automation framework. What will you learn from the course? High level overview on Large Language Models (LLM) Understand how Custom LLM’s are built using Retrieval Augmented Generation (RAG) Architecture Common Benchmarks/Metrics used in Evaluating RAG based LLM’s Introduction to RAGAS Evaluation framework for evaluating/test LLM’s
Course Curriculum
Section 1: Introduction to AI concepts - LLM's & RAG LLM's
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StartLecture 1: What this course offers? FAQ"s -Must Watch (9:12)
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StartLecture 2: Course outcome - Setting the stage of expectation
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StartLecture 3: Introduction to Artificial Intelligence and LLM's - How they work (6:17)
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StartLecture 4: Overview of popular LLM"s and Challenges with these general LLM's (6:15)
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StartLecture 5: What is Retrieval Augmented Generation (RAG)? Understand its Architecture (12:39)
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StartLecture 6: End to end flow in RAG Architecture and its key advantages (12:07)
Section2: Understand RAG (Retrieval Augmented Generation) - LLM Architecture with Usecase
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Section 3: Getting started with Practice LLM's and the approach to evaluate /Test
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StartLecture 9: Course resources download
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StartLecture 10: Demo of Practice RAG LLM's to evaluate and write test automation scripts (6:51)
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StartLecture 11: Understanding implementation part of practice RAG LLM's to understand context (8:36)
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StartLecture 12: Understand conversational LLM scenarios and how they are applied to RAG Arch (5:47)
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StartLecture 13: Understand the Metric benchmarks for Document Retrieval system in LLM (8:12)
Frequently Asked Questions
When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.