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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
- Examining the dynamics between prompts and responses
Priming and Instruction Design
- Establishing role-based instructions
- Refining initial prompts for task-specific results
- Case studies on successful priming
Chain-of-Thought and Reasoning Prompts
- Facilitating step-by-step reasoning
- Creating structured logical sequences
- Striking a balance between detail and precision
Prompt Templates and Reusability
- Developing reusable prompt frameworks
- Dynamic context insertion
- Expanding prompt engineering via templates
Context Window Strategies
- Overseeing restricted context windows
- Summarization and context minimization
- Sliding window and memory-driven techniques
Multi-Stage Prompting
- Linking prompts for complex operations
- Constructing pipelines using intermediate outputs
- Iterative enhancement and feedback cycles
Evaluation and Optimization
- Setting success metrics for prompts
- Structured A/B testing of prompt approaches
- Ongoing improvement of prompting methods
Summary and Next Steps
Requirements
- Fundamental grasp of large language models
- Proficiency in Python programming
- Acquaintance with prompt-based interactions
Target Audience
- Prompt engineers
- Developers
- Product managers exploring Ollama
