Generative ai fine tuning

 Fine-Tuning in Generative AI: Brief Explanation

Fine-tuning generative AI:

  • Base Model: Start with a pretrained model.
  • Define Goal: Specify desired improvements.
  • New Data: Gather task-related dataset.
  • Adjust Parameters: Modify model for task.
  • Limited Training: Train briefly on new data.
  • Evaluate & Iterate: Assess results, repeat as needed.

Fine-tuning enhances generative AI's output for targeted goals.

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