Welcome to the future of AI: Building a verifiable Internet with ChatDKG
We are excited to announce the launch of a pioneering educational course, “ChatDKG for AI Builders” at Trace Alliance Academy. This course is designed for forward-thinking artificial intelligence (AI) developers, data scientists, and technology innovators who aim to enhance the fidelity and integrity of their AI solutions through the Verifiable Internet for AI powered by the OriginTrail Decentralized Knowledge Graph (DKG).
Why OriginTrail-powered verifiable Internet for AI?
Verifiable Internet for AI leverages the synergies of crypto, the Internet, and AI technologies (read more in in the OriginTrail Whitepaper 3.0). With the novel Decentralized Knowledge Graph (DKG) approach it ensures the provenance, integrity, and verifiability of information utilized by AI systems. It aims to address the challenges posed by misinformation, data ownership, intellectual property rights, and biases inherent in AI technologies, by synergizing neural and symbolic AI approaches with Web3 technologies.
In an era marked by abundant connectivity and, unfortunately, abundant misinformation, the need for reliable data has never been more crucial. The OriginTrail DKG stands out as an open-source, trusted knowledge infrastructure that leverages blockchain and knowledge graph technologies and is founded on the principles of neutrality, inclusiveness, and usability.
As Dr. Bob Metcalfe, the inventor of Ethernet and an Internet pioneer, notes, knowledge graphs are critical in improving the fidelity of artificial intelligence. By leveraging the synergies of knowledge graph and blockchain technologies, OriginTrail DKG enables structuring and connecting data, making it discoverable, verifiable, and ownable in the form of knowledge assets, and, as such, usable for verifiable AI solutions employing the innovative Decentralized Augmented Generation (dRAG) framework.
By introducing the dRAG framework, the OriginTrail-powered verifiable Internet for AI builds on and expands the concept of Retrieval Augmented Generation (RAG), a key paradigm for builders in the AI space looking to feed large language models (LLMs) with specific context and datasets. Besides empowering builders to develop verifiable AI solutions based on trusted knowledge, the dRAG framework also opens up a tremendous opportunity for connecting individual knowledge bases that AI builders are creating and curating for their RAG pipelines, enabling the sharing of knowledge and value between AI systems in a decentralized way.
Builders can leverage all of these capabilities of the verifiable Internet for AI through ChatDKG — a launchpad for trusted AI. Through ChatDKG, they can create predictable AI agents to execute tasks based on trusted data stored in the OriginTrail DKG. Their AI agents benefit from information provenance and data ownership, while the builders enjoy the freedom to choose between multiple AI models.
Learning to build and leverage a verifiable Internet for AI with ChatDKG, therefore, allows AI pioneers to seize the opportunities analogous to those previously seized by advances in networking that early computer networks such as Ethernet and the Internet brought about. Opportunities that have demonstrated tremendous value generation through network effects famously articulated in Metcalfe’s law.
What will you learn in the ChatDKG for AI builders course?
The course covers a range of crucial topics and tools essential for building and leveraging verifiable Internet for AI.
Here is what you can expect to learn:
- Verifiable Internet for AI: Understand the foundational concepts and key properties of verifiable Internet for AI like clear information provenance, verifiable information, and incentivization for high-quality knowledge production.
- OriginTrail enablement: Explore how OriginTrail DKG facilitates a verifiable Internet for AI, including its structure and operational dynamics.
- Decentralized Retrieval Augmented Generation (dRAG) framework: Dive into the dRAG framework and learn how it ensures knowledge provenance and aids in the accurate retrieval of information to build verifiable AI applications.
- ChatDKG launchpad: With ChatDKG as a launchpad for trusted AI solutions, you can turn your data into Knowledge Assets and create predictable AI agents to execute tasks using your data. Because Knowledge Assets are created on the OriginTrail DKG, your AI agents benefit from information provenance and data ownership and you have the freedom to choose between multiple AI models.
- Integration techniques: Learn to integrate different LLMs and other tools with OriginTrail DKG to build robust and verifiable AI solutions. Start with exploring integrations with the Google Gemini, NVIDIA Build ecosystem, and Chainlink Oracle capabilities and expect new tutorials to be added subsequently.
Join us to shape the future of AI
This course is a unique opportunity to be at the forefront of creating safer, verifiable, and more reliable AI solutions. Whether you are an AI enthusiast, a seasoned developer, or a curious learner, “ChatDKG for AI builders” offers valuable insights and practical skills to navigate and shape the future of AI.
Enroll today at Trace Alliance Academy and join us in pioneering the verifiable Internet for AI. Together, let’s lead the charge in fostering a democratic, ethically guided, and economically viable future for AI applications.
To receive additional tools and support to build transformative AI solutions on OriginTrail, apply for the ChatDKG Inception Program.
