refuel-ai/autolabel
A Python library that uses LLMs to automatically annotate and enrich text datasets for machine learning.
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Autolabel is a Python library for labeling, cleaning, and enriching text datasets using large language models. It supports multiple LLM providers including OpenAI GPT-4, Anthropic Claude, and Hugging Face models. Users can leverage state-of-the-art LLMs to automatically generate high-quality labeled data at a fraction of the cost and time compared to manual labeling. The library integrates with popular frameworks like LangChain and is designed to accelerate ML data preparation workflows.
Frequently asked
- What is refuel-ai/autolabel?
- A Python library that uses LLMs to automatically annotate and enrich text datasets for machine learning.
- Is autolabel open source?
- Yes — refuel-ai/autolabel is open source, released under the MIT license.
- What language is autolabel written in?
- refuel-ai/autolabel is primarily written in Python.
- How popular is autolabel?
- refuel-ai/autolabel has 2.3k stars on GitHub.
- Where can I find autolabel?
- refuel-ai/autolabel is on GitHub at https://github.com/refuel-ai/autolabel.