How does it Work?

AlphaOS represents the pinnacle of AI-driven Web3 interaction, designed to serve as a comprehensive operating system that empowers users to perform all Web3 interactions through a conversational AI interface. Leveraging advanced pre-trained open-source models and fine-tuning techniques, AlphaOS achieves unparalleled proficiency in handling a diverse range of Web3 tasks.

AlphaOS Operating Principle Diagram

Pre-training and Mixed-Task Instruction Tuning

The foundation of AlphaOS is built on the utilization of vast quantities of high-quality Web3 data, exceeding tens of millions of data points. This extensive dataset is employed to perform Mixed-Task Instruction Tuning (MTIT) on pre-trained open-source models.

Direct Preference Optimization Alignment

To address the specific requirements of Web3 scenarios, Direct Preference Optimization Alignment (DPO) is implemented. DPO enables the AI to fine-tune its responses and actions based on direct user preferences and feedback, particularly in complex transaction scenarios. This alignment ensures that AlphaOS not only understands the intricacies of Web3 operations but can also execute them efficiently and accurately.