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Duration 14 hours
Course Outline
Introduction to Prompt Engineering with Ollama
- Grasping Ollama’s capabilities and constraints
- Core principles of prompt engineering
- Analyzing the dynamics between prompts and responses
Priming and Instructional Design
- Formulating role-based instructions
- Refining initial prompts for task-specific results
- Examining case studies of successful priming
Chain-of-Thought and Reasoning Prompts
- Facilitating step-by-step logical reasoning
- Structuring coherent logical flows
- Achieving a balance between verbosity and precision
Prompt Templates and Reusability
- Creating reusable prompt frameworks
- Dynamic context integration
- Scaling prompt engineering efforts via templates
Context Window Strategies
- Managing restricted context windows
- Techniques for summarization and context reduction
- Implementing sliding window and memory-based approaches
Multi-Stage Prompting
- Linking prompts for complex tasks
- Constructing pipelines utilizing intermediate outputs
- Applying iterative refinement and feedback loops
Evaluation and Optimization
- Establishing success metrics for prompts
- Conducting systematic A/B tests of prompt strategies
- Driving continuous improvement in prompting methods
Summary and Future Directions
Requirements
- Foundational knowledge of large language models
- Proficiency in Python programming
- Familiarity with prompt-based interactions
Target Audience
- Prompt engineers
- Developers
- Product managers exploring Ollama
