Generative AI: what it is, how it works and how it differs from traditional AI.
Large Language Models (LLMs): such as GPT-5 and Claude.
Vector embeddings and vector databases: techniques by which AI can provide meaningful answers.
Prompt engineering: cleverly drafting your queries to AI.
AI risks: think hallucinations, bias, open-source risks or legal challenges such as copyright.
Part 2: Ethical issues (questions 21 to 25) Privacy and consent Bias and discrimination in AI systems Accountability in AI use in marketing, HR and healthcare
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Could you use some help?
Below we highlight a few concepts that are going to help you during the test:
What is a Large Language Model?
An LLM (such as GPT-5) is an AI model trained on massive amounts of text and capable of understanding and generating human language. Think of answering questions, writing emails or summarizing documents. They are so-called “generative AI models.”
What is a vector embedding?
AI does not understand text the way we do. Therefore, each word or phrase is converted to a series of numbers (vector) so that the model can work with it mathematically. We call this embedding, essential to how AI recognizes meaning and context.
What are hallucinations in AI?
Sometimes an AI system makes up something that is not true at all, as if it is sure it is true. We call that a hallucination. For example: an AI says that a person wrote a book that does not exist at all.
What is Agentic AI?
Agentic AI refers to artificial intelligence that can act independently to achieve goals. So not just reacting to input as ChatGPT usually does, but taking initiative, planning, making decisions and executing actions in the real or digital world.
Why this test is valuable
This test is not a gimmick. It is a time to take yourself seriously as a professional in a world that is digitizing faster and faster. Whether you work in healthcare, education, government or business, those who understand AI well will make better decisions.
With a perfect score of 100%, you will receive a certificate from Pegamento in recognition of your knowledge and effort. Do you score lower? Then you can take the test again, with the insights from your previous attempt.
Good luck!
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