zjunlp/EasyInstruct
A framework for generating, selecting, and managing prompts and instructions for large language models.
Not currently ranked — collecting fresh signals.
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EasyInstruct provides modular components for processing instructions with LLMs including generators, selectors, prompts, and engine abstractions. It supports chaining multiple LLM operations for tasks like chain-of-thought reasoning and in-context learning. The framework offers both programmatic APIs and Gradio-based interfaces for interacting with various LLM backends.
Frequently asked
- What is zjunlp/EasyInstruct?
- A framework for generating, selecting, and managing prompts and instructions for large language models.
- Is EasyInstruct open source?
- Yes — zjunlp/EasyInstruct is open source, released under the MIT license.
- What language is EasyInstruct written in?
- zjunlp/EasyInstruct is primarily written in Python.
- How popular is EasyInstruct?
- zjunlp/EasyInstruct has 407 stars on GitHub.
- Where can I find EasyInstruct?
- zjunlp/EasyInstruct is on GitHub at https://github.com/zjunlp/EasyInstruct.