Chain-Of-Thought Prompting Under Streaming Batch: A Case Study

Understand

Recently, Large Language Models (LLMs) have demonstrated remarkable capabilities.

• Chain-of-Thought (CoT) has been proposed as a way of assisting LLMs in performing complex reasoning.
• However, developing effective prompts can be a challenging and labor-intensive task.
• Many studies come out of some way to automatically construct CoT from test data.