This is the Linux app named Prompt Engineering Techniques whose latest release can be downloaded as Prompt_Engineeringsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Prompt Engineering Techniques
DESCRIPTION
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
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/prompt-engineering.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
