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Promptify is an open-source Python library designed to simplify prompt engineering and the development of natural language processing pipelines using large language models. The project provides tools that help developers generate structured prompts for different NLP tasks and apply them across multiple generative AI systems. Instead of manually crafting prompts for each task, Promptify introduces a unified architecture that combines prompt templates, language model interfaces, and processing pipelines into a single framework. This approach allows developers to perform tasks such as text classification, named entity recognition, question answering, and information extraction using consistent prompt templates. The library supports integration with multiple large language model providers, enabling users to experiment with various models without changing their overall workflow.
Features
- Template-based prompt generation for NLP tasks
- Unified architecture combining prompter, model, and pipeline components
- Integration with multiple large language model providers
- Structured output logging and JSON result formatting
- Support for tasks such as classification, extraction, and question answering
- Reusable prompt templates for rapid NLP development
Project Samples
