Introduction

With the development and popularization of artificial intelligence (AI) technology, more and more people are beginning to use AI to assist or improve their life and work. For example, we can use AI to obtain information, communicate, complete tasks, create content, and more. However, the current AI service is often a standardized and centralized model, that is, the platform or service provider provides a unified AI function and interface, and users can only choose and use it within a limited range. This model has the following problems:

- Lack of personalization and intelligence. Since the platform or service provider cannot fully understand the needs, preferences, and interests of each user, the AI services provided often cannot meet the individual needs of users, nor can they be intelligently adjusted and optimized based on user feedback and behavior.

- Lack of security and reliability. Since the platform or service provider needs to collect and store user data, including user behavior data, personal information, privacy data, etc., these data may be leaked, tampered with, abused or obtained by a third party, thereby endangering the safety and interests of users.

- Lack of flexibility and compatibility. Since the platform or service provider needs to maintain and update AI functions and interfaces, users can only rely on the technical support and resources provided by the platform or service provider, and cannot freely choose and use different data sources, equipment, models, frameworks, etc., nor can they Integrate or collaborate with other AI platforms or services.

In order to solve these problems, we propose a new AI service model, namely Web3+AI FlerkenS (Web3+AI Shiyuanshou), which is based on the decentralized network (Web3) and vector database (Vector Database) technology Personalized AI service platform. It can form a personal vector database through personal behavior data collection, and then output various personalized AI usage scenarios through customized prompts. It has the following characteristics:

- Personalized and intelligent. It can provide users with AI services that better meet their needs, preferences, and interests based on their behavioral characteristics and semantics, such as recommendation, search, question and answer, creation, etc. optimization.

- Safety and reliability. It can use decentralized network technology to store user data on devices controlled by the user, thereby protecting user data security and privacy, and can use vector database technology to efficiently and safely store and analyze user data , Improve data availability and integrity.

- Flexibility and compatibility. It can use vector database technology to support multiple data source access, such as browsers, mobile phones, IoT devices, etc., to achieve cross-device and cross-modal data sharing and collaboration, and can use prompt technology to support multiple AI functions and Interfaces, such as GPT large models, realize integration or collaboration with other AI platforms or services.

In this article, we will introduce the technical principles and advantages of Web3+AI's FlerkenS, as well as its positive impact on the popularization of people's AI scene-based applications.

Technical principle

FlerkenS of Web3+AI mainly includes three parts: decentralized network (Web3), vector database (Vector Database) and prompt technology (Prompt Technology). Below we introduce the technical principles of these three parts respectively.

Decentralized network

Decentralized network (Web3) is a network architecture based on blockchain (Blockchain), peer-to-peer (Peer-to-Peer) network, encryption algorithm and other technologies. Compared with the traditional centralized network (Web2), it has the following characteristics:

- Disintermediation. It does not need to rely on any centralized institution or platform to provide network services or resources, but is organized and collaborated autonomously by network participants.

- Distrust. It does not need to rely on any third party to verify or guarantee the validity or security of network transactions or activities, but achieves trust among network participants through a consensus mechanism.

- De-censorship. It is not controlled or interfered by any government or organization, but instead guarantees free communication and expression among network participants.

The decentralized network can provide support for FlerkenS of Web3+AI in the following aspects:

- data storage. It can use distributed file systems such as IPFS to store user data on devices controlled by the user, thereby protecting user data security and privacy, and can use distributed storage networks such as Filecoin to provide users with data backup and incentives mechanism.

- data transmission. It can use point-to-point communication protocols such as Libp2p to realize data transmission and sharing between users, thereby improving data availability and efficiency, and can use distributed databases such as OrbitDB to provide users with data synchronization and collaboration functions.

- data verification. It can use smart contract platforms such as Ethereum to realize data verification and transactions between users, thereby ensuring the integrity and credibility of data, and can use data markets such as Ocean Protocol to provide users with data exchange and value-based mechanisms.

Vector database

A vector database is a database that stores data as high-dimensional vectors, which are mathematical representations of features or attributes. Compared with traditional relational databases or document databases, vector databases have the following characteristics:

- Efficiency. It can use Approximate Nearest Neighbor (ANN) search technology to realize fast and accurate similarity search and retrieval of vector data, thereby improving the efficiency and quality of queries.

- Versatility. It can support vector data generated by a variety of machine learning algorithms, such as text, images, audio, video, etc., thereby improving the versatility and compatibility of data.

- Scalability. It can support data sets of any size and provide high-availability, high-scalability, and high-performance services, thereby improving data scalability and stability.

The vector database can provide support for FlerkenS of Web3+AI in the following aspects:

- Data conversion. It can use the embedded model (Embedding Model) to convert different types of user behavior data (such as text, image, audio, video, etc.) into vectors, and provides some preset embedded models and interfaces.

- data storage. It can use lightweight vector databases such as Milvus or Milvus Edge to store user vector data on the client side or in the cloud, and provides some advanced storage functions, such as sharding, compression, encryption, etc.

- data analysis. It can use the vector database to analyze and process the user's vector data, such as similarity search, clustering, classification, etc., and provides some advanced analysis functions, such as filtering, sorting, aggregation, etc.

Prompt technology

Prompt Technology (Prompt Technology) is a technology that generates text or other types of output based on a language model (Language Model) and prompt words (Prompt). Compared with traditional natural language generation (NLG) technology, it has the following characteristics:

- Simplicity. It does not require complex model training or tuning. It only needs to design appropriate prompt words according to the target task and input them into the language model to get the corresponding output.

- Flexibility. It can generate different types or styles of output according to different prompt words, such as text, image, audio, video, etc., and can generate output of different quality or complexity according to different language models.

- Be creative. It can use the knowledge and logic contained in the language model to generate some novel or interesting output, and it can use the emotion and intention contained in the prompt words to generate some output that meets the user's expectations or needs.

The prompt technology can provide support for Web3+AI's FlerkenS in the following aspects:

- Output generation. It can use large language models such as GPT to generate various types of output, such as recommendation, search, question and answer, creation, etc., according to the prompt words input or selected by the user, and can use the user's vector data to generate more personalized and intelligent Output.

- Output evaluation. It can use the language model to evaluate and optimize the output according to different evaluation indicators, such as accuracy, readability, diversity, etc., and can use the user's feedback and behavior to evaluate and optimize the output.

- Output interaction. It can use the language model to interact and display the output according to different interaction methods, such as text, image, audio, video, etc., and can use the user's behavior data to interact and display the output.

Advantage

Compared with the traditional AI service model, FlerkenS of Web3+AI has the following advantages:

- More in line with user needs. It can provide users with more personalized and intelligent AI services based on their behavioral characteristics and semantics, thereby improving user satisfaction and loyalty.

- More protection of user interests. It can use decentralized network technology to store user data on devices controlled by the user, thereby protecting the user's data security and privacy, and can use data market technology to provide users with a data value mechanism.

- More adaptable to user scenarios. It can use vector database technology to support multiple data source access, such as browsers, mobile phones, IoT devices, etc., to achieve cross-device and cross-modal data sharing and collaboration, and can use prompt technology to support multiple AI functions and Interfaces, such as GPT large models, realize integration or collaboration with other AI platforms or services.

Positive influence

Web3+AI's FlerkenS has positive impacts on the popularization of AI scene-based applications in the following aspects:

- Improved AI accessibility. It allows more people to easily use AI services, and it allows more people to control and manage their own data autonomously.

- Improved AI believability. It can make people have more trust and confidence in AI services, and it can make people more involved and contribute to AI services.

- Improved AI creativity. It allows people to obtain more information and knowledge through AI services, and allows people to express more emotions and meanings through AI services.

In conclusion

FlerkenS of Web3+AI is a personalized AI service platform based on decentralized network (Web3) and vector database (Vector Database) technologies. It can form a personal vector database through personal behavior data collection, and then output various personalized AI usage scenarios through customized prompts. It has the characteristics of personalization, intelligence, security, reliability, flexibility, and compatibility. Compared with the traditional AI service model, it has obvious advantages and has a positive impact on the popularization of AI scene-based applications. We hope that FlerkenS of Web3+AI can provide people with a better AI experience and promote the collaborative development of humans and AI.