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The Graph releases new white paper, launching AI reasoning and proxy services for on-chain applications

BlockBeats2024/05/29 03:31
By:BlockBeats

Semiotic Labs is the core development team of The Graph, with extensive expertise in the field of artificial intelligence. On May 28, they released a new white paper proposing the introduction of AI services and demonstrating the product Agentc. Agentc is a tool similar to ChatGPT built on The Graph. Currently, The Graph has become one of the largest decentralized computing networks, with more than 100 data indexes built around Web3 data services. From this perspective, The Graph is the best choice to promote the integration of artificial intelligence and open source Web3 technologies.


This development is expected to give rise to the largest and most diverse open source AI reasoning network, which will be built on data from more than 50 blockchains. The white paper, co-authored by Anirudh Patel, Senior Research Scientist at Semiotic Labs, Sam Green, Co-founder and Head of Research at Semiotic Labs, and Eva Beylin, Executive Director of The Graph Foundation, highlights The Graph’s expansion from data to AI through inference and agent services.


Following the release of the AI white paper, Semiotic Labs will publicly demonstrate a trial demo of Agentc, a ChatGPT-like tool built on The Graph. Agentc aims to make blockchain data easily accessible through natural language. The trial demo will be available in two weeks, allowing users to interact directly with AI and The Graph. After the demo period, Agentc’s codebase will be open sourced to allow the developer community to expand and innovate on this foundational tool and explore the possibilities of combining The Graph with natural language applications and blockchain data.


By integrating inference and proxy services into the protocol, developers can deploy and execute AI models directly using The Graph and build decentralized applications powered by AI smart agents. These services will help developers integrate AI capabilities directly into the front end of their applications, all powered by The Graph.


The Graph’s existing infrastructure is well positioned to support AI development, providing reliable data and scalable computing support to address single points of failure and censorship issues. Further, developers will gain a range of benefits, such as using The Graph’s massive blockchain data repository to train AI models and hosting models on The Graph’s decentralized infrastructure. Unlike centralized AI platforms with fixed models, The Graph’s indexers can run all open source AI models, including popular Web2 models and custom models trained using The Graph’s blockchain data, to meet diverse use cases and enable users to implement their own customized solutions.


Other components of the AI integration process include:


Upgrades to The Graph Indexers: The Graph’s 100+ globally distributed indexers can now provide data and computation support for inference and proxy services, giving developers the ability to use The Graph to run AI models and proxy services on a decentralized network.


Research and Development: The Graph’s core contributors will continue to work on RD aimed at achieving verifiable AI and continue to explore knowledge graph-based large language models (KGLLMs) and other large language models that combine blockchain data with real-world data.


Front-end integration: Developers leveraging The Graph’s infrastructure can get reliable support from AI models that are efficiently and scalably deployed, enabling seamless integration of AI capabilities on the front end of dapps. In addition, The Graph provides access to open source AI models such as Stable Code 3B (LLM), Llama 3 (LLM), and SDXL (image generation) on its decentralized platform, ensuring that users can use these models to complete a variety of tasks with peace of mind while ensuring security and reliability.



About Semiotic Labs:


Semiotic Labs, a research team with deep experience and expertise in the field of artificial intelligence, published a new white paper on The Graph's official blog, which explains why The Graph is the best platform to support the integration of artificial intelligence and open source web3 technologies, and introduces its new AI services.


Semiotic Labs brings together experts in the fields of artificial intelligence and cryptography to develop innovative solutions that make fundamental contributions to improving the ease of use and scalability of Web3 technologies. With their deep accumulation and strategic applications in this field, Semiotic Labs is leading the trend of AI-driven blockchain technology innovation.


About The Graph:


The Graph is at the heart of data and information in the decentralized web. As the original decentralized data marketplace that introduced and standardized “subgraphs,” The Graph has become the way Web3 indexes and accesses blockchain data. Since its launch in 2018, thousands of developers have built a rich subgraph ecosystem for decentralized applications (dApps) on over 50 blockchain platforms, including Ethereum, Arbitrum, Optimism, Base, Polygon, Celo, Fantom, Gnosis, and Avalanche.


As Web3’s demand for data continues to evolve, The Graph is entering a new, broader phase with a vision that includes new data services and query languages to ensure this decentralized protocol can meet a variety of current and future use cases.


To stay connected with the community and learn more about how The Graph is shaping the future of DePIN, follow The Graph on X, LinkedIn, Instagram, Facebook, Reddit, and Medium, join The Graph’s Telegram community, and participate in technical discussions on The Graph’s Discord.


The Graph network is overseen by The Graph Foundation, which is overseen by a technical committee. Edge Node, StreamingFast, Semiotic Labs, The Guild, Messari, GraphOps, Pinax, and Geo are eight of the many organizations in The Graph ecosystem.


The Graph's official AI blog: https://thegraph.com/blog/the-graph-ai-crypto/

Chinese TG community: https://t.me/GraphProtocolCN


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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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