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Using AI: Understanding GenAI

Understanding AI tools’ strengths, weaknesses, and biases will empower you to appropriately leverage the power of generative AI to support your writing across a variety of academic, professional, and personal pursuits.

How Does Generative AI Work?

Generative AI tools like LLMs typically follow four cyclical steps beginning with the training phase. 

training phase, user interaction, data synthesis, generated output

  1. Training Phase: Generative AI tools undergo training, utilizing vast datasets to learn and recognize complex patterns. 
  1. User Interaction: Individual users engage with generative AI tools typically via textual prompts, providing specific input that guides the generative process. 
  1. Data Synthesis: Upon receiving an input, the AI processes it in conjunction with its pre-existing knowledge base derived from its training.  
  1. Generated Output: The AI tool then produces a unique output that mirrors the learned patterns from its training data. This output can occur in various forms such as text, images, audio, or video content. 

If Generative AI was a Baker

Another way to think about it is the Baker Analogy: 

Sequence of four panels: 1 a young baker learning to cook, 2 baker meeting with customer, 3 baker standing over pot, 4, baker handing cake to customer

Image generated with Adobe Firefly, September 2024

  1. Training Phase: Imagine a baker who spends years perfecting their craft. They study countless recipes, learn various techniques, and experiment with different ingredients. 
  1. User Interaction: Picture a customer walking into the bakery and requesting a specific type of cake. The customer provides details about their preferences, such as flavor, size, and decoration. 
  1. Data Synthesis: The baker then takes the customer’s request and draws on their extensive knowledge and experience to create a unique recipe. 
  1. Generated Output: Finally, the baker bakes the cake, which is a unique creation based on the customer’s specifications and the baker’s expertise. 

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