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OriginTrail, in collaboration with Google Gemini and Polkadot, has introduced a decentralized AI model utilizing the Decentralized Retrieval Augmented Generation (dRAG) framework. This initiative aims to empower large language models (LLMs) with specific contexts and datasets with verifiable provenance. Additionally, OriginTrail has released its Whitepaper 3.0, which outlines a new approach to creating a Verifiable Internet for AI through the Decentralized Knowledge Graph (DKG). This development is part of a broader effort to promote autonomous growth of DKG, enhancing the infrastructure for decentralized AI applications. Furthermore, OriginTrail showcased the first community operated AI assistant, PolkabotAI, and provided resources including a tutorial, open source code, and a full video from the Google + OriginTrail meetup.
Decentralized AI is Key to More Unbiased AI Algorithms โ Masa Co-Founder "Masa Network unveiled the first 13 AI developer partners building on its decentralized infrastructure" - @Cointelegraph Read the exclusive #CoinTelegraph article on Masa #AI https://t.co/jVvzhYMvcM
Masa Unveils Our Decentralized AI Developer Ecosystem Introducing 13 AI Partners Integrating with our Decentralized AI Data and LLM Network Weโre also introducing our plans for powering innovation on the Masa Network. _________________ Introducing the Masa Decentralized AIโฆ https://t.co/AJ64OoVJBA
๐ @origin_trail is leading the charge towards autonomous #DKG growth, powering the Verifiable Internet for #AI! Dive into this fascinating thread by @Polkadot for an in-depth look at @origin_trail's mission & key elements ๐ https://t.co/URIb2pREhd
