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What is the difference between n shot, k shot, few shot, and one shot learning?

In the generative AI world, zero shot learning is when you write a prompt and get a response. One-shot and K-shot are more similar to writing a prompt that includes one or more example completions for the model to learn from. Fine tuning, where you take the existing model and train it off a dataset specific to your query, is a type of k-shot learning.

For more on these techniques, check out the Large Language Models for marketers in the BrXndscape.

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