Daily Productive Sharing 690 - Prompt Engineering

One helpful tip per day:)

Lilian Weng reviewed the prompts used by large language models (LLMs) in recent years and provided detailed explanations:

1. Zero shot prompt: Directly giving instructions -- this is the most basic instruction.

2. Few shot prompt: Providing example(s) and giving instructions -- this is more effective than the previous one, but it consumes more tokens.

3. Chain of thoughts (CoT): Providing certain reasoning steps or reasoning instructions -- this is the most effective for complex problems in larger LLMs.

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Lilian Weng 回顾了近几年大语言模型 (LLM) 所使用的 prompts，给出了详细的介绍：

1. zero shot prompt：直接给出指令 -- 这是最基本的指令

2. few shot prompt: 给出示例e，并给出指令 -- 效果比前面这种好，但是会消耗更多的 tokens

3. chain of thoughts (CoT): 给出一定的推理步骤，或者推理指令 -- 针对复杂问题，在较大的 LLM 下，这种效果最好。

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