Cat & robotics terminology

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