3. Introduction to other AI components

• AI Data Annotation and Incentive Mechanism: MLP encourages community members to participate in AI data annotation tasks, optimizing the performance of the platform's core AI models through this collaborative effort. Users who complete data annotation tasks can receive token rewards, which not only improves the quality of model training but also enhances the community's sense of participation and belonging. Data annotation tasks are decentralized and assigned to different community members, ensuring fairness and transparency in the data annotation process. Each annotation task undergoes multiple reviews to ensure data quality. Users can not only gain economic incentives but also obtain additional ecological benefits through a points system, such as participating in new feature testing or acquiring exclusive platform NFTs.

• AI Model Marketplace KKNET: The AI ecosystem platform also includes a decentralized AI model marketplace, KKNET, where developers can publish and trade their own AI models. Protected by the security of smart contracts, developers can ensure privacy and security in the model trading process, while monetizing the value of their models through tokenization mechanisms, allowing users to rent or purchase these models for various application scenarios. KKNET platform is not only a marketplace for model trading but also a window for developers to showcase and promote their technology. Developers can create detailed pages for their models on KKNET, including model performance, application scenarios, and usage tutorials, allowing potential users to better understand the value of the models. KKNET also supports real-time model updates, enabling developers to continuously optimize and iterate models based on user feedback, thereby enhancing the competitiveness and user satisfaction of the models.

• AI Virtual Humans: Through the GANTRY platform, developers and users can create their own AI virtual humans and apply them to virtual assistants, entertainment, and personalized services, increasing the interactivity and fun of the platform and promoting innovative applications of virtual images in decentralized ecosystems. AI virtual humans not only have a high degree of customization, but users can also adjust the appearance, voice, and personality traits of the virtual humans through a simple interface. The GANTRY platform also supports the continuous evolution of virtual humans through machine learning, understanding users' habits and preferences to provide more personalized services. For example, virtual humans can act as DeFi advisors, helping users manage investment portfolios, or as social companions, participating in users' daily entertainment activities.

MLP's AI ecosystem platform comprehensively supports the intelligent development of decentralized finance and other fields through the open-source framework of the AICIAR platform, personalized services of AI investment advisors, and innovative applications of the KKNET model market and AI virtual humans. The various components within the platform work in concert, bringing more possibilities and innovation opportunities to the MLP ecosystem. Through community co-construction and decentralized governance, MLP is gradually realizing a diversified, intelligent, and decentralized future.