Scope of AI Services

Griffin AI introduces a decentralized network architecture designed to host a broad spectrum of AI services and middleware components. This network offers the requisite infrastructure for efficient and secure AI interactions within a decentralized framework.

At the heart of the network are the AI models, surrounded by a suite of essential services required to build robust applications for end users, such as AI middleware components, data sets and libraries as well as computation and storage solutions. An overview of high-level service categories is provided in the table below.

Category	Description
AI Models	This category includes a diverse array of AI offerings such as open-source and proprietary Large Language Models (LLMs), specialized Machine Learning (ML) models, and models for image and video generation, text-to-voice conversion, etc. Additionally, it provides tailored solutions specifically designed for decentralized applications, catering to the unique needs of the blockchain environment.
Middleware Services	These services provide the necessary support for seamless AI operations. Key offerings include advanced data retrieval (Vector Search, Web Search), sophisticated context and prompt management, arithmetic computations capabilities, and verification tools functioning both on-chain and off-chain. This layer plays a vital role in connecting raw AI functionalities with practical, application-focused uses.
Data Sets and Libraries	Griffin AI includes comprehensive data sets and libraries crucial for blockchain-centric AI applications and widespread use-case efficiency. These libraries provide standardized, blockchain-focused datasets, ensuring AI models are well-trained, finely tuned, they can also be leveraged for retrieval augmentation.
Computation and Storage	Griffin AI provides flexible solutions in computation and storage, catering to diverse user cases. The platform offers access to both centralized cloud providers and decentralized, blockchain-based networks. This approach empowers users to optimize based on cost, speed, and the degree of decentralization required for their specific applications. Griffin AI's diverse range of options ensures that users have the freedom and resources to choose the most suitable infrastructure for their needs.

Table 1: AI Service Categories

While initial prototypes for AI Services are developed by Griffin AI, a broad ecosystem of external service providers is being established. Service providers range from large-scale enterprises and established projects to decentralized autonomous organizations (DAOs) and individual engineers. This diversity ensures a rich pool of services and capabilities.

Providers may offer specialized services or a comprehensive suite of interconnected functionalities, enabling users to tailor their AI solutions. For instance, users might combine blockchain-specific data and processing services from Griffin AI with their own LLMs or those from external providers, creating a customized AI solution that best fits their needs.

This ecosystem is not just about service consumption; entities within Griffin AI can also contribute and offer services, fostering a collaborative and synergistic environment. This dual role enhances the network's dynamics, encouraging innovation and continuous improvement of services.

Looking ahead, Griffin AI envisions an expansive marketplace where third-party DApps and AI Agents can be built upon and interact with this foundational network. These entities will have the capability to communicate and collaborate directly, fostering a dynamic environment where collective goals can be achieved more efficiently.