Thought generation produces a partial solution for each component of a decomposed problem. Within chain-of-thought prompting, solving these components sequentially helps a language model construct the final solution. section 6.3.1
A practical workflow for generating a blog article separates the work into:
- Brainstorming main points and subpoints. section 6.3.1
- Outlining the introduction, body, and conclusion. section 6.3.1
- Drafting sections with topic sentences, examples, and supporting evidence, then editing for clarity and flow. section 6.3.1
A lightweight prompt
Ask the model to write on a topic, outline the key writing steps first, and then follow those steps. This is a less specified version of the workflow. section 6.3.1
Figure 6.5 Schema for CoT prompting
Use the schema to see how thought decomposition and thought generation fit together in chain-of-thought prompting. section 6.3.1
