AI/ML

Unique features like data generation and end-to-end testing contribute to robust integration, covering aspects from accuracy validation to specialised industry testing. validating your ml model across test data to evaluate model performance Let’s walkthrough how to do it

Summary

  • aiTest ensures accurate, reliable AI/ML applications through comprehensive testing, addressing specific industry needs.
  • Unique features like data generation and end-to-end testing contribute to robust integration, covering aspects from accuracy validation to specialized industry testing.

What is AI/ML Testing?

AI/ML testing involves evaluating the functionality, accuracy, and performance of AI and ML applications. aiTest covers Release QA, Enterprise QA, specialized features, ML model testing, LLM testing, and industry-specific testing for Fintech, banks, and Healthcare.

Why to use AI/ML Testing?

AI/ML testing is crucial due to the complexity of AI/ML systems. It ensures accuracy, reliability, and addresses domain-specific requirements, mitigating risks associated with intricate algorithms and data dependencies.

Benefits

  1. Accuracy Assurance: Validates AI/ML model predictions.
  2. Quality Assurance: Covers Release QA, Enterprise QA, and specialized features.
  3. Reliability Validation: Industry-specific testing for Fintech, banks, and Healthcare.
  4. Data Generation: Unique capability for comprehensive variance and bias evaluation.
  5. End-to-End Testing: Includes AI Copilot, open AI testing, chatgpt testing, CI/CD for chatgpt, LLAMA2 testing, and ML data testing.

How To Generate Test Data in AI/ML?

Here’s a step-by-step guide to Generate Test Data for your models in aiTest:

  1. Sign up using your E-mail or Google account.
  2. Once you have reached the URL test dashboard, navigate to the left-side menu and select the AI/ML Create AI/ML Test
  3. Once you have reached the Generate Test Data page of aiTest, Hit the Generate Test Data button which is on top right corner.
  4. Configure your test:
    • a) Test Data Collection Name: Give the name of Testrun whatever you want or which is related to your application, So that it will be easy to get that particular Testrun details whenever you want. i.e. test-example.com, test-demo.com, etc.
    • b) Project: Select a project in which you want to run your test or you can create a project by clicking on the red colored plus sign(+) button.
    • c) Model Test Type: Select the Model Test Type that you want to test. e.g. Classification Model
    • d) Test Data Collection Description: Write some Test descriptions to make your test more informative.
    • e) Sample Input and Output File: At the end, you will need to upload the sample input and output files to generate Test Data
    • f) Generate: Hit the Generate button to generate Test Data for your models in AI/ML

Run Analysis For Generate Test Data in AI/ML

After the Test Data is generated, you can access the Run Analysis to review the results. Here’s how:

  1. Go to the AI/ML dashboard to see an overview of the test results. Test data of AI/ML
  2. Once you have reached the AI/ML dashboard page of aiTest, For more detailed information, click on the View More associated with the completed test. You’ll find options to view Data Types. Data Types of AI/ML

How To Run Your Model Test in AI/ML?

Here’s a step-by-step guide to Generate Test Data for your models in aiTest:

  1. Once you have reached the URL test dashboard, navigate to the left-side menu and select the AI/ML
  2. Click on the MODEL TEST RUN button which is on top left side. MODEL TEST RUN
  3. Once you have reached the MODEL TEST RUN page of aiTest, Hit the Model Test Run button which is on top right corner. Create AI/ML MODEL TEST RUN
  4. Configure your test:
    • a) Model Test Run Name: Give the name of Testrun whatever you want or which is related to your application, So that it will be easy to get that particular test details whenever you want. i.e. test-example.com, test-demo.com, etc.
    • b) Project: Select a project in which you want to run your test or you can create a project by clicking on the red colored plus sign(+) button.
    • c) Model Test Run Description: Write some Test descriptions to make your test more informative.
    • d) Select Test Data Collection: You will need to Select the Test Data Collection that you have generated previously.
    • e) Model Endpoint: Enter the Model Endpoint that you want to test.
    • f) Select Test Data: You will need to Select the Test Data. e.g. Exploratory Test, Stress Test, Robustness, etc.
    • g) Run It Now: Hit the Run It Now to run the AI/ML.

Run Analysis For Model Test Run in AI/ML

After the Model Test Run is run, you can access the Run Analysis to review the results. Here’s how:

  1. Go to the AI/ML dashboard to see an overview of the test results. MODEL TEST RUN dashboard
  2. Once you have reached the AI/ML dashboard page of aiTest, For more detailed information, click on the View Details associated with the completed test. You’ll find options to view Data Types, Then Scroll down a little bit and view Graphs. MODEL TEST RUN Data Types Quality Metrics By Class Class Representation Confusion Matrix

Questions answered

  • What is AI/ML Testing?
  • Why to use AI/ML Testing?
  • How To Generate Test Data in AI/ML?
  • How To Run Your Model Test in AI/ML?

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