| 1 -Introduction and setup.mp4 | 34.6 MB | ||
| 1 -Introduction to RAG.mp4 | 39.5 MB | ||
| 1 -Introduction to Testing of LLM Applications.mp4 | 62 MB | ||
| 1 -Introduction.mp4 | 57.8 MB | ||
| 1 -Testing LLMs with Traditional Approach.mp4 | 40.6 MB | ||
| 1 -Understanding AI Agents.mp4 | 47.5 MB | ||
| 2 -Context Recall with RAGAs.mp4 | 79.7 MB | ||
| 2 -Creating Jupyter Notebook for Tests and Test Execution.mp4 | 25.7 MB | ||
| 2 -Creating Multiple Test Data.mp4 | 41.7 MB | ||
| 2 -Creating Retriever for Actuals and Vector Stores for Context.mp4 | 26.2 MB | ||
| 2 -Understanding RAG application.mp4 | 38.2 MB | ||
| 2 -Understanding different Models.mp4 | 21.1 MB | ||
| 2 -Understanding different types of AI Applications.mp4 | 104.3 MB | ||
| 2 -Using LangChain to Invoke LLM for our Test Source.mp4 | 58.1 MB | ||
| 2 -Working with an AI Agent.mp4 | 55.6 MB | ||
| 2 -Writing First DeepEval Code for AnswerRelevance.mp4 | 57.4 MB | ||
| 3 -Creating Goldens and Pushing it to Confident AI.mp4 | 21.7 MB | ||
| 3 -Creating MultiTurnSample DataSet for RAG Application to Test.mp4 | 55.5 MB | ||
| 3 -Evaluating LLM with Answer Relevancy using Local LLM.mp4 | 58.9 MB | ||
| 3 -Noise Sensitivity Metrics with RAGAs.mp4 | 42.9 MB | ||
| 3 -Running LLM locally using Ollama.mp4 | 61.9 MB | ||
| 3 -Setting up Confident AI.mp4 | 52.6 MB | ||
| 3 -Testing LLMs for Context Precision.mp4 | 101 MB | ||
| 3 -Understanding different Evaluation Metrics to evaluate AI Applications.mp4 | 45.3 MB | ||
| 3 -Understanding how to test an AI Agent.mp4 | 9.7 MB | ||
| 3 -Working with RAG application as a Demo.mp4 | 70.9 MB | ||
| 4 -Creating Actual Output and Retrieval Context for LLMTestCase.mp4 | 63.5 MB | ||
| 4 -Creating GEval for RAG application.mp4 | 61.6 MB | ||
| 4 -Different LLM libraries to Evaluate LLMs and LLM Applications.mp4 | 72.3 MB | ||
| 4 -Evaluating LLM with Context Precision using Local LLM.mp4 | 90.4 MB | ||
| 4 -Evaluating LLMs and check the Evaluated Testcases in Confident AI.mp4 | 72.8 MB | ||
| 4 -Evaluating RAG with RAGAs.mp4 | 46.9 MB | ||
| 4 -MultiTurnSample with RAGAs along with Evaluate.mp4 | 84.1 MB | ||
| 4 -Testing an AI Agent without using Actual System Under Test.mp4 | 74.7 MB | ||
| 4 -Using Ollama Models in GUI.mp4 | 29.4 MB | ||
| 5 -Creating LLMTestCases with Actual And Retrieval Context from Dataset.mp4 | 39.7 MB | ||
| 5 -Evaluating LLM with Bias using Local LLMs.mp4 | 51.1 MB | ||
| 5 -General Purpose Metrics - Aspect Critics For summary of data from LLM.mp4 | 73.3 MB | ||
| 5 -Running EvaluationTests of LLMs (DeepSeek R1) using Local LLM with Ollama.mp4 | 32.9 MB | ||
| 5 -Testing RAG with GEval for Conciseness & Completeness Metrics.mp4 | 66.1 MB | ||
| 5 -Testing an AI Agent without using Actual SUT (Contd.).mp4 | 42.4 MB | ||
| 5 -Understanding Ollama with few more command line interface commands.mp4 | 13.4 MB | ||
| 6 -General Purpose Metrics - Detect Harmfulness from the content generated.mp4 | 63.2 MB | ||
| 6 -Running Evaluation to verify RAG and check the same from Confident AI.mp4 | 49.1 MB | ||
| 6 -Starting Ollama with API to run as a API server.mp4 | 31.4 MB | ||
| 6 -Testing AI Agents with Actual System instead of Fake System.mp4 | 43.1 MB | ||
| 6 -Understanding LLMTestCases in Depth.mp4 | 71.3 MB | ||
| 6 -Using GEval for Custom Criteria to Evaluate LLM.mp4 | 75.7 MB | ||
| 7 -Testing AI Agents with Multiple Datasets.mp4 | 59.3 MB | ||
| 7 -Understanding Golden And Dataset in Depth.mp4 | 76.6 MB | ||
| 7 -Using GEval to perform Bias Testing using Local LLMs.mp4 | 52.1 MB | ||
| 8 -Creating Goldens using List Array.mp4 | 66.5 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 58 total files | |||
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
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| 3 GB | freecoursewb | 1 month | 6 | 3 | |
| 3.2 GB | freecoursewb | 3 months | 9 | 1 | |
| 1.2 GB | freecoursewb | 10 months | 3 | 1 | |
| 887.6 MB | freecoursewb | 1 year | 1 | 1 | |
| 1.2 GB | freecoursewb | 3 years | 0 | 0 |
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