AI QA - Testing AI Apps with DeepEval, RAGAs, HF and Ollama

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AI QA: Testing AI Apps with DeepEval, RAGAs, HF & Ollama

https://WebToolTip.com

Published 3/2025
Created by Karthik KK
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 56 Lectures ( 5h 56m ) | Size: 2.91 GB

Roadmap to become AI QA Engineer to test LLMs and AI Application using DeepEval, RAGAs and HF Evaluate with Local LLMs

What you'll learn
Understand the purpose of Testing LLM and LLM based Application
Understand DeepEval and RAGAs in detail from complete ground up
Understand different metrics and evaluations to evaluate LLMs and LLM based app using DeepEval and RAGAs
Understand the advanced concepts of DeepEval and RAGAs
Testing RAG based application using DeepEval and RAGAs
Testing AI Agents using DeepEval to understand how tool callings can be tested

Requirements
Basics of working with LLM like using ChatGPT
Basics of any programing language like Java or Javascript
Basics of python will be a plus

Files:

[ WebToolTip.com ] AI QA - Testing AI Apps with DeepEval, RAGAs, HF and Ollama
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 -Introduction to Testing of LLM Applications.mp4 (62.0 MB)
    • 2 -Understanding different types of AI Applications.mp4 (104.3 MB)
    • 3 -Understanding different Evaluation Metrics to evaluate AI Applications.mp4 (45.3 MB)
    • 4 -Different LLM libraries to Evaluate LLMs and LLM Applications.mp4 (72.3 MB)
    10 - Testing RAG applications with RAGAs
    • 1 -Introduction and setup.mp4 (34.6 MB)
    • 2 -Creating Retriever for Actuals and Vector Stores for Context.mp4 (26.2 MB)
    • 3 -Creating MultiTurnSample DataSet for RAG Application to Test.mp4 (55.5 MB)
    • 4 -Evaluating RAG with RAGAs.mp4 (46.9 MB)
    2 - Running LLM locally using Ollama
    • 1 -Introduction.mp4 (28.6 MB)
    • 2 -Understanding different Models.mp4 (21.1 MB)
    • 3 -Running LLM locally using Ollama.mp4 (61.9 MB)
    • 4 -Using Ollama Models in GUI.mp4 (29.4 MB)
    • 5 -Understanding Ollama with few more command line interface commands.mp4 (13.4 MB)
    • 6 -Starting Ollama with API to run as a API server.mp4 (31.4 MB)
    3 - Environment step required for TestingEvaluating LLM Apps and LLMs
    • 1 -Introduction.mp4 (72.1 MB)
    • 2 -Creating Jupyter Notebook for Tests and Test Execution.mp4 (25.7 MB)
    • 3 -Setting up Confident AI.mp4 (52.6 MB)
    4 - Understanding the Basics of DeepEval (Building Blocks)
    • 1 -Testing LLMs with Traditional Approach.mp4 (40.6 MB)
    • 2 -Writing First DeepEval Code for AnswerRelevance.mp4 (57.4 MB)
    • 3 -Testing LLMs for Context Precision.mp4 (101.0 MB)
    • 4 -Evaluating LLMs and check the Evaluated Testcases in Confident AI.mp4 (72.8 MB)
    • 5 -Running EvaluationTests of LLMs (DeepSeek R1) using Local LLM with Ollama.mp4 (32.9 MB)
    • 6 -Understanding LLMTestCases in Depth.mp4 (71.3 MB)
    • 7 -Understanding Golden And Dataset in Depth.mp4 (76.6 MB)
    • 8 -Creating Goldens using List Array.mp4 (66.5 MB)
    5 - Evaluating Real LLMs (Locally) as the Source and creating Dataset with LLMs
    • 1 -Introduction.mp4 (32.4 MB)
    • 2 -Using LangChain to Invoke LLM for our Test Source.mp4 (58.1 MB)
    • 3 -Evaluating LLM with Answer Relevancy using Local LLM.mp4 (58.9 MB)
    • 4 -Evaluating LLM with Context Precision using Local LLM.mp4 (90.4 MB)
    • 5 -Evaluating LLM with Bias using Local LLMs.mp4 (51.1 MB)
    • 6 -Using GEval for Custom Criteria to Evaluate LLM.mp4 (75.7 MB)
    • 7 -Using GEval to perform Bias Testing using Local LLMs.mp4 (52.1 MB)
    6 - Testing RAG (Retrieval-Augmented Generation) application using DeepEval
    • 1 -Introduction to RAG.mp4 (39.5 MB)
    • 2 -Understanding RAG application.mp4 (38.2 MB)
    • 3 -Working with RAG application as a Demo.mp4 (70.9 MB)
    • 4 -Creating GEval for RAG application.mp4 (61.6 MB)
    • 5 -Testing RAG with GEval for Conciseness & Completeness Metrics.mp4 (66.1 MB)
    7 - Testing RAG application with DeepEval (Advanced)
    • 1 -Introduction.mp4 (36.8 MB)
    • 2 -Creating Multiple Test Data.mp4 (41.7 MB)
    • 3 -Creating Goldens and Pushing it to Confident AI.mp4 (21.7 MB)
    • 4 -Creating Actual Output and Retrieval Context for LLMTestCase.mp4 (63.5 MB)
    • 5 -Creating LLMTestCases with Actual And Retrieval Context from Dataset.mp4 (39.7 MB)
    • 6 -Running Evaluation to verify RAG and check the same from Confident AI.mp4 (49.1 MB)
    8 - Testing AI Agents and Tool Callings with Local LLMs and DeepEval
    • 1 -Understanding AI Agents.mp4 (47.5 MB)
    • 2 -Working with an AI Agent.mp4 (55.6 MB)
    • 3 -Understanding how to test an AI Agent.mp4 (9.7 MB)
    • 4 -Testing an AI Agent without using Actual System Under Test.mp4 (74.7 MB)
    • 5 -Testing an AI Agent without using Actual SUT (Contd.).mp4 (42.4 MB)
    • 6 -Testing AI Agents with Actual System instead of Fake System.mp4 (43.1 MB)
    • 7 -Testing AI Agents with Multiple Datasets.mp4 (59.3 MB)
    9 - EvaluatingTesting LLMs using RAGAs
    • 1 -Introduction.mp4 (57.8 MB)
    • 2 -Context Recall with RAGAs.mp4 (79.7 MB)
    • 3 -Noise Sensitivity Metrics with RAGAs.mp4 (42.9 MB)
    • 4 -MultiTurnSample with RAGAs along with Evaluate.mp4 (84.1 MB)
    • 5 -General Purpose Metrics - Aspect Critics For summary of data from LLM.mp4 (73.3 MB)
    • 6 -General Purpose Metrics - Detect Harmfulness from the content generated.mp4 (63.2 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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