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Autolabel

Label, clean and enrich text datasets with LLMs
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What is Autolabel?

It is a Python library to label, clean, and enrich text datasets with any Large Language Models (LLMs) of your choice.
Autolabel is a tool in the Large Language Model Tools category of a tech stack.
Autolabel is an open source tool with 2.2K GitHub stars and 154 GitHub forks. Here’s a link to Autolabel's open source repository on GitHub

Who uses Autolabel?

Developers

Autolabel's Features

  • Autolabel data for NLP tasks such as classification, entity matching, and more
  • Seamlessly use commercial and open source LLMs from providers such as OpenAI, HuggingFace, Google, and more
  • Leverage research-proven LLM techniques to boost label quality
  • Caching and state management to minimize costs and experimentation time

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Autolabel's Followers
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