AIF-C01 · Question #183
Which technique breaks a complex task into smaller subtasks that are sent sequentially to a large language model (LLM)?
The correct answer is B. Prompt chaining. Prompt chaining is a technique where a complex task is broken into smaller subtasks, and the outputs of one subtask are used as inputs for the next, sequentially guiding a large language model (LLM) to solve the problem step-by-step. This method is particularly useful for…
Question
Which technique breaks a complex task into smaller subtasks that are sent sequentially to a large language model (LLM)?
Options
- AOne-shot prompting
- BPrompt chaining
- CTree of thoughts
- DRetrieval Augmented Generation (RAG)
Explanation
Prompt chaining is a technique where a complex task is broken into smaller subtasks, and the outputs of one subtask are used as inputs for the next, sequentially guiding a large language model (LLM) to solve the problem step-by-step. This method is particularly useful for complex tasks that require multiple reasoning steps. Prompt chaining involves breaking a complex task into smaller subtasks and sequentially passing the output of one subtask as input to the next, enabling large language models to handle intricate problems by solving them step-by-step.