promptsource and OpenPrompt
These are complements: OpenPrompt provides a framework for implementing prompt-learning methods across different model architectures, while PromptSource supplies curated, reusable prompt templates and datasets that can be integrated into OpenPrompt pipelines for evaluation and experimentation.
About promptsource
bigscience-workshop/promptsource
Toolkit for creating, sharing and using natural language prompts.
This toolkit helps natural language processing practitioners create, share, and use specialized text prompts for large language models. You input raw text data and a prompt, and it outputs the data formatted as a question or instruction ready for a language model to process. This is ideal for researchers, data scientists, or AI engineers working on fine-tuning or evaluating large language models.
About OpenPrompt
thunlp/OpenPrompt
An Open-Source Framework for Prompt-Learning.
This framework helps developers quickly build and experiment with 'prompt-learning' for various natural language processing tasks. It takes raw text inputs and a pre-trained language model, then processes them through customizable templates and verbalizers to produce task-specific outputs like sentiment labels or generated text. The end users are machine learning engineers and researchers who are working on fine-tuning large language models for specific applications.
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