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ChatTS-14B is a language model focused on time series understanding and reasoning, aiming to improve the processing capabilities of time series data through synthetic data. This model can be widely used in data analysis, financial forecasting and other fields, providing users with deeper time series insights, with good reasoning capabilities and accuracy.
The product is a purpose-built OCR system designed to extract structured data from complex educational materials, supporting multilingual text, mathematical formulas, tables and charts, capable of producing high-quality data sets suitable for machine learning training. The system leverages multiple technologies and APIs to provide highly accurate extraction results, making it suitable for use by academic researchers and educators.
AttentionKart is a platform that uses artificial intelligence to provide engagement insights. It uses computer vision technologies such as facial recognition, expression recognition, eye tracking, etc. to help users analyze engagement and interaction and gain in-depth insights into user behavior. The platform can analyze video footage offline and integrate third-party applications online. The main functions include participation analysis, accurate user portraits, interaction optimization, etc. It is suitable for online courses in educational institutions, corporate conference presentations, sales calls and other scenarios.
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