salesforce/TaiChi
Open source library for few shot NLP
This tool helps machine learning practitioners classify customer intent from short text inputs, like chatbot messages, even when very little training data is available. You provide a small set of example utterances and their corresponding intents, and the system outputs a trained model that can accurately categorize new user requests. It's designed for data scientists or ML engineers building conversational AI systems or other NLP applications where data labeling is a bottleneck.
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Use this if you need to build an intent classification model but only have a handful of labeled examples for each intent.
Not ideal if you have extensive labeled datasets for your text classification task, as it's specifically optimized for low-data scenarios.
Stars
79
Forks
8
Language
Python
License
BSD-3-Clause
Category
Last pushed
Jun 12, 2023
Commits (30d)
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