Multiplex CoT
1.0.0
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By employing the Prompt method, the LLM can attain an effect that closely resembles that of the LRM without necessitating additional training.
In the context of reasoning and decision-making, Multiplex CoT (Chain of Thought) enables the model to simulate a form of self-reflection, improving its ability to generate coherent, logical answers. This method works by prompting the LLM to first generate a chain of reasoning (CoT), then iteratively reviewing and refining it by initiating a second round of reasoning, which acts as a critique or review of the first.
Run Multiplex_CoT.ipynb.
See example.py.
