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Duration 14 hours
Course Outline
Introduction to Prompt Engineering with Ollama
- Grasping the capabilities and constraints of Ollama
- Core principles of prompt engineering
- Analyzing the dynamics between prompts and responses
Priming and Instruction Design
- Formulating role-based instructions
- Tuning initial prompts for specific task outputs
- Examining case studies of successful priming
Chain-of-Thought and Reasoning Prompts
- Fostering step-by-step logical reasoning
- Architecting structured logical sequences
- Striking a balance between detail and accuracy
Prompt Templates and Reusability
- Developing reusable prompt frameworks
- Incorporating dynamic context insertion
- Scaling prompt engineering efforts via templates
Context Window Strategies
- Navigating limited context windows
- Techniques for summarization and context reduction
- Utilizing sliding window and memory-based approaches
Multi-Stage Prompting
- Linking prompts for intricate tasks
- Creating pipelines that utilize intermediate outputs
- Implementing iterative refinement and feedback cycles
Evaluation and Optimization
- Establishing success metrics for prompts
- Conducting systematic A/B testing of prompt strategies
- Pursuing continuous improvement in prompting methods
Summary and Next Steps
Requirements
- Fundamental knowledge of large language models
- Proficiency in Python programming
- Awareness of prompt-based interaction methods
Target Audience
- Prompt engineers
- Software developers
- Product managers exploring Ollama
