December 2024
Intermediate to advanced
304 pages
8h 57m
English
Before we start using large language models (LLMs) to assist our testing, we need to understand how LLMs work, what good testing looks like, and most crucially, how we combine the two to create value. As Marshall McLuhan once stated, “We shape our tools, and thereafter our tools shape us.” This aphorism is also true when working with LLMs. Their behavior can give us the impression that they think and behave like humans, and therefore, we can rely on them to replace our work. However, this kind of thinking can lead us down a dangerous path, and not only slow down our work, but also bias us toward incorrect assumptions about the quality of both our work and our products.
This is why ...
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