🧠 AI Zero-Shot Classifier
A powerful JavaScript library for multilingual zero-shot text classification using advanced AI embeddings. It supports dynamic and user-defined labels, making it ideal for real-time classification across various domains.
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Achievements
Multi-Provider Support
Implemented support for multiple AI providers, enhancing the library's flexibility and adaptability.
𝗦𝗶𝘁𝘂𝗮𝘁𝗶𝗼𝗻
Traditional text classification methods require extensive labeled data and retraining models, which can be costly and time-consuming.
𝗧𝗮𝘀𝗸
Develop a library that leverages pre-trained AI embeddings to perform zero-shot text classification, eliminating the need for labeled datasets.
𝗔𝗰𝘁𝗶𝗼𝗻
Created a flexible library that supports multiple AI providers and models, allowing for dynamic label definition and real-time classification.
Implemented features like multi-provider support, dynamic labels, and multiple similarity functions to enhance classification capabilities.
𝗥𝗲𝘀𝘂𝗹𝘁
The library provides a seamless and efficient solution for multilingual zero-shot text classification, adaptable to diverse use cases without retraining models.