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    Multi Shot

    A multi shot is a type of artificial intelligence (AI) protocol in which developers provide AI with multiple examples of a task to learn from.

    What Is a Multi Shot?

    Unlike one-shot protocols, which provide an AI solution with one example to then replicate and learn from, multi-shot protocol involves two or more examples. If a brand wants its AI solution to produce a customer data report, for example, it would input several examples of similar reports. The AI would then analyze and synthesize the information in those examples to produce a custom report for the brand. Multi-shot AI protocols can be beneficial because they mirror the ways AI solutions function. The more data you input, the more information the AI has to learn from and adapt to. This can often lead to more accurate generalizations, better pattern recognition, and fostering a deeper understanding of a concept or task. Because the AI is learning from multiple examples, however, incorrect or poor-quality data can cause the AI to make the wrong conclusions. That’s why data quality and human review is critical.

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