Prompt EngineeringBest PracticesDeepSeekQwenGLM
Mastering Prompt Engineering for Chinese LLM APIs
Learn advanced prompt engineering techniques specific to Chinese LLM APIs including DeepSeek, Qwen, GLM, and ERNIE.
Why Prompt Engineering Matters
Effective prompts can reduce API costs by 40% while improving output quality. Chinese LLM APIs respond better to structured, context-rich prompts.
Structure Your Prompts
Use the role-content-result format: assign a persona, provide context, and specify output format.
- Role assignment: 'You are a senior software architect...'
- Context: Include relevant background information
- Task: Clear instructions on what to accomplish
- Format: Specify desired output structure
Chain-of-Thought for Reasoning
For complex tasks, add 'think step by step' to trigger DeepSeek R1's reasoning capabilities.
{"model":"deepseek-r1","messages":[{"role":"user","content":"Solve this problem step by step: If a train leaves at 2pm..."}]}Chinese Language Optimization
Chinese LLMs perform better with Chinese prompts. Use Chinese keywords for best results when targeting Chinese audiences.