ducnh279/LLMs-for-Text-Classification
Fine-tuning Large Language Models (LLMs) for Text Classification Task
This project helps data scientists and AI engineers efficiently customize powerful language models for specific text classification needs. It takes raw text data with predefined categories and outputs a specialized model that can accurately sort new, unlabeled text. This is ideal for machine learning practitioners looking to deploy highly accurate text classifiers without extensive computational infrastructure.
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Use this if you need to quickly and affordably train a specialized text classification model using lightweight large language models like Phi-3 or H2O-Danube.
Not ideal if you require a simple, off-the-shelf solution for text classification without any customization or fine-tuning, or if your text data is not suitable for categorical labeling.
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Jun 06, 2024
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