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Across
  1. 2. A powerful language model with many parameters, used for text understanding and generation.
  2. 6. When an AI model generates information that sounds correct but is actually wrong.
  3. 8. A machine learning approach using multi-layer neural networks to learn complex patterns.
  4. 9. AI systems that can create new content such as text, images, or music.
Down
  1. 1. A learning method where an AI agent improves by receiving rewards or penalties.
  2. 3. The input instruction given to an AI system to guide its output.
  3. 4. A classic test that evaluates whether a machine can imitate human conversation convincingly.
  4. 5. Very large and complex datasets that require advanced tools like AI for analysis.
  5. 7. An AI entity that can perceive its environment and act autonomously to achieve goals.