Training

For ordinary users, BitMind provides a very simple and practical self-training method to lower the user's threshold. With the support of the pedestal model fine-tuned in various industry data, users currently only need to quickly import various formats of documents related to their learning and work with just one click to complete personal training.

BitMind will continue to iterate, gradually supporting rapid learning of website content, images, videos, and other multi-modal training materials.

AFT (Auto Fine Tuning) is an advanced automated training system. It automates LoRA training from data to dataset, eliminating the need for users to engage in complex training processes. This is currently the most advanced process and technology domestically. This technology is completely opaque to users. Users only need to upload files, and AFT can complete data aggregation, data cleaning, construction of three datasets, and automated LoRA model training, with support for hot-swapping at any time. The advantages of this technology are:

• It allows ordinary users to reduce training difficulty, as users only need to upload raw files.

• It greatly reduces communication costs with clients, data collection costs, security risks, dataset processing, and training costs.

• It ensures the profit space for creators.