ThoughtSource: A central hub for large language model reasoning data

Understand

Large language models (LLMs) such as GPT-4 have recently demonstrated impressive results across a wide range of tasks.

• LLMs are still limited, however, in that they frequently fail at complex reasoning, their reasoning processes are opaque, they are prone to 'hallucinate' facts, and there are concerns about their underlying biases.
• Letting models verbalize reasoning steps as natural language, a technique known as chain-of-thought prompting, has recently been proposed as a way to address some of these issues.
• Here we present ThoughtSource, a meta-dataset and software library for chain-of-thought (CoT) reasoning.