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AI QA Testing AI Apps with DeepEval RAGAs HF and Ollama

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Files:

Get Bonus Downloads Here.url 180 bytes
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
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
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
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
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
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
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
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
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
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 70 bytes

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