AI 102: GenAI FTW

5. A system of algorithms designed to recognize patterns modeled after the human brain's network of neurons.
6. Responsible AI development that ensures AI is used in ways that are ethically safe and aligned with principles such as fairness and transparency.
7. The data/information used to teach AI models to recognize patterns or perform tasks.
8. An AI model trained on large text datasets to generate human-like responses in conversations.
9. A program that uses AI to communicate with users often answering questions or performing simple tasks.
11. A type of learning where machines find patterns in data without being told what to look for.
13. The ability of machines to understand and generate human language such as in chatbots or translation tools.
14. A type of AI Learning where machines improve at tasks by learning from data rather than being explicitly programmed.

1. Automation where software robots that perform repetitive tasks such as data entry or form filling without human intervention.
2. Systems that can perform tasks or make decisions without human control, such as self-driving cars.
3. AI where two networks (one creating data and one evaluating it) compete to improve the generated data.
4. AI systems are capable of creating new content (ex: text or images) based on patterns learned from existing data.
6. Machines learn by interacting with their environment, improving performance through trial and error.
10. Machines performing tasks that normally require human intelligence (such as decision-making; speech recognition)
12. A type of learning where machines are trained on data that has correct answers provided, helping them improve.