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AI · October 7, 2020

WhatToLabel

Improve your machine learning models by curating your data

WhatToLabel launched on October 7, 2020 with 70 votes, #756 of 4,053 launches that month.

Visit site ↗WhatToLabel alternativestop 19% of October 2020

What it does

Curate your training data using a simple visual interface. Don't waste your time in labeling images which don't add value to training your model. Use the software to find the most relevant samples to label.

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    Autolabel, a Python library to label and enrich text data with LLMs2023 · github.com · ▲153

    Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML&#x2F;data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!

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