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Duration 14 hours
Course Outline
Introduction to Prompt Engineering with Ollama
- Grasping Ollama’s features and boundaries
- Core principles of prompt engineering
- Analyzing prompt-response dynamics
Priming and Instruction Design
- Creating role-based directives
- Enhancing initial prompts for specific task outputs
- Reviewing case studies on successful priming
Chain-of-Thought and Reasoning Prompts
- Fostering step-by-step logical reasoning
- Structuring coherent logical flows
- Finding the balance between detail and precision
Prompt Templates and Reusability
- Developing reusable prompt frameworks
- Incorporating context dynamically
- Scaling engineering efforts using templates
Context Window Strategies
- Navigating limited context windows
- Applying summarization and context reduction techniques
- Implementing sliding window and memory-based approaches
Multi-Stage Prompting
- Linking prompts for intricate tasks
- Creating pipelines utilizing intermediate outputs
- Refining iteratively through feedback loops
Evaluation and Optimization
- Establishing success metrics for prompts
- Conducting systematic A/B testing of strategies
- Continuously refining prompting methods
Summary and Next Steps
Requirements
- Fundamental knowledge of large language models
- Proficiency in Python programming
- Familiarity with prompt-based interaction methods
Target Audience
- Prompt engineers
- Developers
- Product managers exploring Ollama capabilities
