Chain of Thought is a concept in artificial intelligence that describes the ability of AI systems to solve complex problems step-by-step, much like humans do. This method allows AI models to explain their thought processes in a way that humans can understand.
Instead of just providing a final answer, the AI shows the individual steps of reasoning that led to that solution. This is particularly useful for tasks that require logical thinking, multi-step calculations, or complex reasoning.
By using Chain of Thought, AI systems can not only deliver more accurate results, but also make their decision-making more transparent. This makes it easier for users to understand the logic behind the AI’s answers and identify potential errors.
In practice, Chain of Thought is often used in speech models and other generative AI systems to improve their problem-solving capabilities and make human-machine interaction more understandable.