ChatGPT

3. The process of adapting a pre-trained language model to a specific task or domain by further training it on task-specific data. Fine-tuning helps improve the model's performance for specific applications.
6. The generated output from the model in response to a prompt.
7. A branch of artificial intelligence that focuses on the interaction between computers and human language, enabling machines to understand, interpret, and respond to human language.
9. Incorporating human feedback into the training or operation of the model.
10. Prejudice or favoritism in data or model behavior.
11. The simulation of human intelligence processes by machines, allowing them to perform tasks that typically require human intelligence, such as speech recognition and decision-making.
13. Leveraging knowledge from one task or domain to another.
15. The size or length of the context provided to the model.
17. Casual and informal conversation.
18. The individual interacting with the chatbot.
19. A collection of data used for training or evaluation.
20. User Experience.

1. A computer program designed to simulate conversation with human users, often using natural language processing techniques.
2. Considerations of morality, fairness, and responsibility in AI development and use.
4. Generating output from a trained model.
5. The ability to understand and explain the model's decisions.
8. A representation of knowledge or a system that makes predictions or generates outputs.
12. A user's initial input or query to the model.
14. A type of neural network architecture that uses the transformer model to generate text. GPT models have achieved impressive results in various natural language processing tasks.
16. A research organization that develops and promotes friendly AI for the benefit of humanity. OpenAI is the creator of the GPT series of language models, including ChatGPT.
17. The text or conversation history used to generate a response.