Cogitator: A Python Toolkit for Chain-of-Thought Prompting

Cogitator is a powerful Python toolkit for experimenting with and utilizing chain-of-thought (CoT) prompting methods in large language models (LLMs). CoT prompting enhances LLM performance on complex tasks (like question-answering, reasoning, and problem-solving) by guiding models to generate intermediate reasoning steps before reaching the final answer. It also improves LLM interpretability by offering insights into the model's reasoning process. This toolkit simplifies the use of popular CoT strategies and frameworks for research or integration into AI applications. It includes a customizable and extensible benchmarking framework to evaluate the performance of different CoT strategies on various datasets.