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Strengths
- The most comprehensive prompt word engineering resources
- Support Chinese, informative content
- Covers basic to advanced techniques
- Contains numerous practical examples
- Continuously updated to reflect the latest research
Best for
- Learn the basics of prompt word engineering
- Learn about advanced prompting techniques (CoT, Few-shot, etc.)
- Improving the effectiveness of AI tools
- Learn Tips and Strategies for LLM Application Development
- Learn about prompt word safety and alignment
Basic prompting techniques
Mastering basic prompting technology can significantly improve the output quality of AI.
Scenario
Zero-shot and Few-shot tips
Prompt example
Two basic prompting methods: Zero-shot (zero sample): Describe the task directly without providing examples Example: "Translate the following from English into Chinese: The weather is nice today." Few-shot (few samples): Provide a few examples to let the model understand the format Example: "Translate the following from English into Chinese: English: Hello, how are you? Chinese: Hello, how are you? English: The weather is nice today. Chinese: " Advantages of Few-shot: - More consistent formatting - Specific style of output - Reduce ambiguity
Output / what to expect
Few-shot usually works better than Zero-shot,
Especially tasks that require formatting,
Providing 3-5 examples is usually sufficient.
Tips
Quality of examples is more important than quantity, choose the most typical and clear examples.
Scenario
Chain-of-Thought
Prompt example
The CoT prompt lets the model demonstrate the inference process: General tips (possible errors): "A farm has 15 chickens and 10 rabbits, How many legs are there in total? " CoT Tips (more accurate): "A farm has 15 chickens and 10 rabbits, How many legs are there in total? Please think step by step. " Zero-shot CoT (universal trick): Add after the question: "Let's think about it step by step." "Let's think step by step." Applicable scenarios: - Mathematical calculations - Logical reasoning - Complex analysis
Output / what to expect
CoT significantly improves the accuracy of complex reasoning tasks,
“Let’s think step by step” is the simplest and most effective technique.
Suitable for any problem requiring multi-step reasoning.
Tips
For simple tasks, CoT may be overly complex; only use it on tasks that require reasoning.