Cat & robotics terminology

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