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课程大纲
Introduction to Prompt Engineering with Ollama
- Understanding Ollama’s capabilities and limitations
- Principles of prompt engineering
- Exploring prompt-response dynamics
Priming and Instruction Design
- Defining role-based instructions
- Optimizing initial prompts for task-specific outputs
- Case studies of effective priming
Chain-of-Thought and Reasoning Prompts
- Encouraging step-by-step reasoning
- Designing structured logical flows
- Balancing verbosity and precision
Prompt Templates and Reusability
- Designing reusable prompt frameworks
- Dynamic insertion of context
- Scaling prompt engineering with templates
Context Window Strategies
- Managing limited context windows
- Summarization and context reduction
- Sliding window and memory-based techniques
Multi-Stage Prompting
- Chaining prompts for complex tasks
- Building pipelines with intermediate outputs
- Iterative refinement and feedback loops
Evaluation and Optimization
- Defining success metrics for prompts
- Systematic A/B testing of prompt strategies
- Continuous improvement of prompting methods
Summary and Next Steps
要求
- Basic understanding of large language models
- Experience with Python programming
- Familiarity with prompt-based interactions
Audience
- Prompt engineers
- Developers
- Product managers experimenting with Ollama
14 小时
