1. API: Application programming interface. A set of rules that allow two programs to communicate with each other. APIs are used to access data and functionality from other programs.

2. Machine learning: A field of AI that allows computers to learn without being explicitly programmed. Computers learn from data and improve their performance over time.

3. Deep learning: A type of machine learning that uses artificial neural networks to learn from data. Neural networks are inspired by the functioning of the human brain.

4. Big data: Large data sets that are too complex to be analyzed with traditional methods. AI is often used to analyze big data and extract useful information.

5. Chatbot : A computer program that simulates a conversation with a human user. Chatbots are often used in customer service applications.

6. Data: Raw information that can be used to train AI models. Data can be structured (such as numbers in a database) or unstructured (such as text or images).

7. Prompt Engineering: The process of creating and optimizing prompts to get better results from a large language model.

8. Hyperparameters: Settings that control the behavior of a machine learning model. Hyperparameters are tuned during model training to optimize its performance.

9. Narrow artificial intelligence (ANI): Refers to AI that is designed to perform a specific task. Most AI applications today are weak AI.

10. Artificial General Intelligence (AGI): Refers to a hypothetical AI that would be as intelligent as a human in all aspects. The IAG has not yet been achieved.

11. Machine learning: A term often used interchangeably with "machine learning."

12. Large Language Models (LLM): AI models that have been trained on large amounts of text data. LLMs can generate text, translate languages, write different types of creative content, and answer questions in an informative manner.

13. AI Model: A computer program that has been trained on data to perform a specific task.

14. Prompt: A text that is provided to a large language model to guide it in generating text. The prompt can be a question, an instruction, or a description of what you want the model to generate.

15. Natural Language Processing (NLP): A field of AI that deals with the interaction between computers and human language.

16. Artificial neural networks: Algorithms that are inspired by the functioning of the human brain. Neural networks are often used in deep learning.

17. Robotics: A field of engineering concerned with the design, construction, operation and application of robots. AI is often used to control robots.

18. Computer Vision: A field of AI that allows computers to "see" and understand the world around them. Computer vision is used in a variety of applications, such as facial recognition and quality control.