Across
- 2. The input (question, instruction, or text) a user provides to a generative AI to get a response.
- 3. A collection of information used to check how well an artificial intelligence (AI) model works after it has already been taught (trained).
- 5. A section of AI where algorithms are trained on data to identify patterns and
- 6. When an AI generates confident, but factually incorrect or illogical,information.
- 9. The software built around an existing AI model. E.g,. Notebook LM. This application is built around the existing Gemini model.
- 10. A software application designed to simulate human conversation through text or voice commands.
- 12. A set of step-by-step instructions or rules that a machine follows to learn and perform tasks.
Down
- 1. The art of crafting, refining, and experimenting with input prompts to get the best possible output from an AI.
- 4. The dataset used to teach an AI model, enabling it to learn patterns and make predictions.
- 7. Large Language Model. E.g., GPT-4, Claude, Gemini
- 8. It creates original content from what it has been trained on. E.g, text, videos,audio.
- 11. Prejudices or systematic errors in AI output, usually originating from flaws or prejudices in the training data.
- 13. predictions or decisions without actually being programmed for specific tasks.