prompt engineering techniques

We have hosted the application prompt engineering techniques in order to run this application in our online workstations with Wine or directly.

Quick description about prompt engineering techniques:

Prompt Engineering Techniques is a focused companion repository that teaches prompt engineering systematically, from fundamentals to advanced strategies. It contains around twenty-plus hands-on Jupyter notebooks, each dedicated to a specific technique such as basic prompt structures, prompt templates and variables, zero-shot prompting, few-shot prompting, chain-of-thought, self-consistency, constrained generation, role prompting, task decomposition, and more. The tutorials are designed to be practical; you can run them directly, examine the prompts, and see how small changes affect model behavior and quality. The repository is framed as a �techniques library� that complements a more detailed book, which expands on the same topics with deeper explanations and exercises. It is intended for a wide audience, from beginners learning how to structure their first prompts to advanced practitioners optimizing stability, controllability, and reliability in production systems.

Features:

• Extensive set of Jupyter notebook tutorials covering key prompt engineering techniques
• Progressive structure from introductory concepts to advanced strategies and implementations
• Concrete examples of patterns like zero-shot, few-shot, chain-of-thought, and self-consistency
• Focus on practical, ready-to-use prompt templates that can be adapted to real projects
• Companion material to a full book with deeper explanations and structured exercises
• Community-driven approach with contribution guidelines and links to related RAG and agent resources

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