Working with Generative AI Test

Q: What are the main Artificial Intelligence tests?

Key AI tests include: Machine Learning Assessment Test Deep Learning Test NLP Online Test Working with Generative AI Test .

The Working with Generative AI Test evaluates a candidate's understanding of key concepts, applications, and ethical considerations in Generative AI. Using scenario-based MCQ questions, it assesses knowledge of popular models, algorithms, and data preprocessing techniques. The test also evaluates the ability to critically analyze and evaluate AI-generated outputs.

Covered skills:

Understanding Generative AI
Applications of Generative AI
Ethics in Generative AI
Popular Generative AI Models
Generative AI Algorithms
Data Preprocessing for Generative AI
Evaluating Generative AI Outputs
AI in Art and Creativity
Language Generation
Generative Adversarial Networks

Get started for free

About the Working with Generative AI Assessment Test

The Working with Generative AI Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

Demonstrates a solid understanding of the foundational concepts of Generative AI.
Skillful in identifying and applying practical applications of Generative AI across various domains.
Understands the ethical considerations and potential biases inherent in Generative AI systems.
Familiar with popular Generative AI models and their respective advantages and limitations.
Proficient in the algorithms driving Generative AI, such as GANs and VAEs.
Competently preprocesses data for effective use in generative AI models.
Evaluates the quality and effectiveness of Generative AI outputs using relevant metrics.
Recognizes the role of Generative AI in artistic and creative processes.
Understands the mechanisms behind language generation models.
Applies knowledge of Generative Adversarial Networks to create and improve generative models.
Adept in fine-tuning pre-trained Generative AI models to specific tasks.
Capable of troubleshooting and optimizing Generative AI model performance.

1200+ customers in 80 countries

Use Adaface tests trusted by recruitment teams globally. Adaface skill assessments measure on-the-job skills of candidates, providing employers with an accurate tool for screening potential hires.

Get started for free

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

Get started for free

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!

Brandon Lee, Head of People, Love, Bonito

It's very easy to share assessments with candidates and for candidates to use. We get good feedback from candidates about completing the tests. Adaface are very responsive and friendly to deal with.

Kirsty Wood, Human Resources, WillyWeather

We were able to close 106 positions in a record time of 45 days! Adaface enables us to conduct aptitude and psychometric assessments seamlessly. My hiring managers have never been happier with the quality of candidates shortlisted.

Amit Kataria, CHRO, Hanu

We evaluated several of their competitors and found Adaface to be the most compelling. Great library of questions that are designed to test for fit rather than memorization of algorithms.

Swayam Narain, CTO, Affable

Why you should use Pre-employment Working with Generative AI Test?

The Working with Generative AI Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

Understanding basic concepts of Generative AI
Identifying Applications of Generative AI
Understanding Ethical considerations in Generative AI
Explaining Popular Generative AI Models
Implementing basic Generative AI Algorithms
Conducting Data Preprocessing for Generative AI
Evaluating outputs of Generative AI models
Exploring AI in Art and Creativity
Understanding fundamentals of Language Generation
Basics of Generative Adversarial Networks

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Working with Generative AI Test?

Understanding Generative AI: Generative AI refers to systems that can create content autonomously, such as text, images, or music by learning from existing data. Measuring this skill ensures that candidates can grasp the foundational concepts and mechanisms driving these AI systems.

Applications of Generative AI: This skill involves identifying and utilizing various use cases for generative AI, including creative industries, healthcare, and automated content generation. Assessing this helps gauge the candidate's ability to apply generative AI in real-world scenarios.

Ethics in Generative AI: Ethics in generative AI deal with the moral implications, bias mitigation, and responsible use of AI-generated content. Understanding this is crucial for creating technology that aligns with societal values and avoids harmful consequences.

Popular Generative AI Models: Knowledge of popular generative AI models like GPT, StyleGAN, and VQ-VAE is pivotal for implementing and experimenting with state-of-the-art technologies. Candidates must be familiar with the strengths and limitations of these models.

Generative AI Algorithms: This skill encompasses the algorithmic foundations of generative models, such as variational autoencoders (VAEs) and Generative Adversarial Networks (GANs). Mastery here is vital for understanding how generative AI creates new data from existing datasets.

Data Preprocessing for Generative AI: Data preprocessing involves cleaning, normalizing, and organizing data to feed into generative models. Proper preprocessing is essential for the accuracy and efficiency of the AI outputs.

Evaluating Generative AI Outputs: This involves techniques and metrics to assess the quality and reliability of content produced by generative AI. It ensures that the generated outputs meet desired standards and objectives.

AI in Art and Creativity: AI's role in art and creativity includes generating original artwork, music, and literature through learned patterns. This skill highlights AI's innovative potential in augmenting human creativity.

Language Generation: Language generation focuses on creating coherent and contextually relevant texts using models like GPT-3. It's a critical skill for developing applications in natural language processing (NLP) and content automation.

Generative Adversarial Networks: GANs consist of two neural networks, a generator and a discriminator, that work together to produce realistic synthetic data. Knowledge of GANs is fundamental for creating high-quality generated content and advancing AI research.

Full list of covered topics

The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Working with Generative AI Test to be based on.

Generative AI

AI Fundamentals

AI Applications

Ethics in AI

Model Bias

Bias Mitigation

GANs

VAEs

Data Preprocessing

Data Cleaning

Encoder-Decoder

Autoencoders

Text Generation

DeepFakes

AI Creativity

AI in Art

Language Models

Transformer Models

BERT

GPT-3

Style Transfer

Algorithmic Music

Algorithmic Art

Image Synthesis

Face Generation

Metric Evaluation

Model Training

Hyperparameter Tuning

Model Optimization

Fine-Tuning

Transfer Learning

AI Fairness

Responsible AI

Synthetic Data

Image Data

Text Data

Speech Data

AI Innovation

Creative AI Tools

Prompt Engineering

Adversarial Attacks

Ethical AI Use

Multimodal AI

Generative Text

Creative Writing

AI Poetry

Workflow Automation

Model Deployment

What roles can I use the Working with Generative AI Test for?

AI Engineer
Data Scientist
Machine Learning Engineer
AI Researcher
Software Engineer
Product Manager
Data Analyst
Technology Consultant
R&D Engineer
Business Analyst

How is the Working with Generative AI Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

Developing advanced Generative AI Algorithms
Optimizing Generative AI model performance
Handling complex Data Preprocessing techniques
Implementing advanced Language Generation techniques
Deploying Generative AI models in production
Managing large-scale Generative AI data
Evaluating ethical implications of AI applications
Researching state-of-the-art Generative AI techniques
Monitoring and maintaining AI models in production
Integrating Generative AI with other technologies

Preview this test

View sample scorecard

Try the most advanced candidate assessment platform

ChatGPT Protection

Non-googleable Questions

Web Proctoring

IP Proctoring

Webcam Proctoring

MCQ Questions

Coding Questions

Typing Questions

Personality Questions

Custom Questions

Ready-to-use Tests

Custom Tests

Custom Branding

Bulk Invites

Public Links

ATS Integrations

Multiple Question Sets

Custom API integrations

Role-based Access

Priority Support

GDPR Compliance

Screen candidates in 3 easy steps

Pick a test from over 500+ tests

The Adaface test library features 500+ tests to enable you to test candidates on all popular skills- everything from programming languages, software frameworks, devops, logical reasoning, abstract reasoning, critical thinking, fluid intelligence, content marketing, talent acquisition, customer service, accounting, product management, sales and more.

Invite your candidates with 2-clicks

Make informed hiring decisions

Get started for free

Have questions about the Working with Generative AI Hiring Test?

What is the Working with Generative AI Test?

The Working with Generative AI Test assesses a candidate's knowledge and skills in generative AI. It is designed for recruiters to evaluate potential hires for roles requiring generative AI expertise.

Can I combine the Working with Generative AI Test with Machine Learning questions?

Yes, recruiters can request a custom test combining Generative AI skills with other relevant skills like Machine Learning. For more details on assessing Machine Learning, check our Machine Learning Assessment Test.

What skills are evaluated in the Working with Generative AI Test?

This test covers:

Understanding Generative AI
Applications of Generative AI
Ethics in Generative AI
Popular Generative AI Models
Generative AI Algorithms
Data Preprocessing for Generative AI
Evaluating Generative AI Outputs
AI in Art and Creativity
Language Generation
Generative Adversarial Networks.

How to use the Working with Generative AI Test in my hiring process?

Use this test as a pre-screening tool at the start of your recruitment process. Share the test link in your job post or invite candidates by email. It helps identify skilled candidates early.

Can I test Generative AI and AI Product Management together in a test?

Yes, combining Generative AI with AI Product Management in a single test is possible. This approach ensures that candidates possess a blend of technical and managerial skills. For more, visit our AI Product Manager Test.

What are the main Artificial Intelligence tests?

Key AI tests include:

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

Non-googleable questions
IP proctoring
Screen proctoring
Web proctoring
Webcam proctoring
Plagiarism detection
Secure browser
Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

Yes, you can sign up for free and preview this test.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

View sample scorecard

Along with scorecards that report the performance of the candidate in detail, you also receive a comparative analysis against the company average and industry standards.

View sample scorecard