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Chain of thought prompting
Chain of Thought (CoT) prompting is a technique used in natural language processing to enhance the reasoning capabilities of large language models. It involves breaking down complex problems into a series of intermediate steps, allowing the model to generate more accurate and coherent responses by thinking through the problem step-by-step. This method is particularly beneficial for tasks requiring logical reasoning, multi-step calculations, or understanding intricate scenarios.
Chain of thought prompting was discovered on April 16th 2024 and it currently has a search volume of 9.9K with a growth of +15%.
Growth
- Exploding
- Regular
- Peaked
Speed
- Exponential
- Constant
- Stationary
Seasonality
- High
- Medium
- Low
Volatility
- High
- Average
- Low
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