Anatomy of a Generative AI Application

As applications get more user data, they can fine-tune their models to:

  • improve model quality/performance for their specific problem space
  • Decrease model size/costs
  • Applications are great at spitting out multiple different ideas to get the creative process going
  • Most AI demos are one-and-done: you offer an input, the machine spits out an output, and you can keep it or throw it away and try again. Increasingly, the models are becoming more iterative.

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