Dynamic AutoML
Dynamic AutoML: Automate Data Tasks for Smarter Results.
What it does
Dynamic AutoML automates CSV analysis, model selection, image classification, segmentation, and LSTM tuning, streamlining data tasks and improving efficiency.
Does a similar job
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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/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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