neural networks

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Across
  1. 2. (... window)The span of text or data that a model considers when making predictions or generating output.
  2. 6. A technique for selecting a subset of data points from a larger dataset, often used in text generation.
  3. 8. The basic units of a neural network that process and transmit information.
  4. 10. A learning algorithm that adjusts weights in a neural network by minimizing the error, using gradients from the output back to the input.
  5. 11. Parameters that determine the strength of connections between neurons in a neural network.
Down
  1. 1. A type of neural network where connections between nodes do not form cycles, passing information in one direction.
  2. 3. The process of teaching a neural network to perform tasks by adjusting its parameters using data.
  3. 4. An additional parameter in a neuron that shifts the activation function, helping the model fit the data better.
  4. 5. A level of computation in a neural network where inputs are processed and transformed into outputs.
  5. 7. Input text given to models like GPT to generate a response or complete a task.
  6. 9. One complete cycle through the entire training dataset during the model’s learning process.