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RAG-LLM Evaluation & Test Automation for Beginners

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Udemy Coupon Code for RAG-LLM Evaluation & Test Automation for Beginners Course. Understand, Evaluate & Test RAG – LLM’s (AI based Systems) from Scratch using RAGAS-Python-Pytest Framework

Created by Rahul Shetty | 8.5 hours on-demand video course

Large Language Models (LLM) Course Overview

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 RAG-LLM Evaluation & Test Automation for Beginners 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 RAG-Large Language Models (LLM) Evaluation & Test Automation for Beginners 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 you’ll learn

  • How Custom Large Language Models (LLM) are designed 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
  • Practical Scripts generation to automate and assert the Metrics Score of LLM’s.
  • Automate Scenarios such as Single turn interactions and Multi turn interactions with LLM’s using RAGAS Framework
  • Generate Test Data for evaluating the Metrics of LLM using RAGAS Framework.
  • Create RAGAS Pytest Evaluation Framework to assert the Metrics of RAG- (Custom) LLM’s
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RAG-LLM Evaluation AI Automation Course Reviews

Everything You Need to Know About RAG-LLM Evaluation & Test Automation for Beginners

This course offers a comprehensive and well-structured introduction to Large Language Models (LLM). Rahul Shetty, the instructor, brings a wealth of expertise in Business, making this course both informative and engaging.

The course structure is easy to follow. Each section, for example, covers a different aspect of RAG-Large Language Models (LLM) Course, ensuring a logical progression through the material. It includes video lectures, readings, and hands-on exercises, which make complex concepts accessible and practical.

Moreover, The Instructors explains each topic clearly and concisely. He supports the lessons with plenty of examples and exercises, which help students grasp the material effectively.

What I appreciated most about this course is its practical focus. For instance, the instructor emphasizes teaching skills and knowledge that are directly applicable to real-world scenarios. Additionally, students gain access to helpful resources such as templates, checklists, and cheat sheets.

Another standout feature is the platform itself. Udemy Coupons offers flexibility, allowing students to learn at their own pace and access course materials from anywhere with an internet connection. Furthermore, the multiple payment options make it easy for students to choose a plan that suits their budget.

In addition, the course community is highly active, with forums where students can ask questions and engage with peers. The instructor, consequently, is very responsive and addresses student inquiries and feedback promptly.

Overall, I highly recommend the RAG-LLM Evaluation & Test Automation for Beginners to anyone looking to learn Large Language Models (LLM) This well-organized and practical course equips you with the skills and knowledge you need to succeed in this field.

RAG-LLM Evaluation AI Automation Course Rated

9.8Expert Score
RAG-LLM Evaluation & Test Automation for Beginners

Understand, Evaluate & Test RAG – LLM’s (AI based Systems) from Scratch using RAGAS-Python-Pytest Framework

8.5 hours on-demand video
9.8
5 articles
9.8
3 downloadable resources
9.8
Access on mobile and TV
9.8
Certificate of completion
9.8

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