Part 2/8:
Chain of Thought (CoT) is a prompting technique that allows AI models to break down complex problems into a structured, step-by-step process. This approach aims to mimic the way humans reason, where individuals often solve problems by reflecting and reflecting on different solutions before arriving at a conclusion.
However, as effective as CoT can be, it comes with significant drawbacks. The process requires an extensive number of tokens, resulting in verbose outputs and increased latency, which can be detrimental when speed and efficiency are necessary. As AI models scale up, this inefficiency becomes more pronounced.