FineTech is dedicated to addressing three major pain points in traditional Pre-Trained GPT large language model training: high training requirements, inaccurate generation and high error rates. We focus on a B2C AI model, fine-tuning OEM and subscription business models. Utilising open-source large language model (LLM) supervised learning and auto-learning, we aim to develop a “Downloadable Fine-Tuned AI Model” and an “Automatic Cloud-based Fine-tuning Platform”. In collaboration with student organisations and educational institutions, FineTech has currently secured some small-scale orders primarily from university students. In the future, we will build a technical platform to further expand in the student-focused large language model fine-tuning market.
Mr Li Ruopan* Undergraduate student, Dept. of Economics and Finance, CityU)
Mr Zhao Wanchao (Undergraduate student, College of Business, CityU)
Mr Dai Zihan (Undergraduate student, The Chinese University of Hong Kong)
* Person-in-charge
(Info based on the team's application form)
- CityU HK Tech 300 Seed Fund (2023)