Verus Community Launches Open-Source AI Model Llama 3 VerusGPT
TL;DR
The launch of Llama 3 VerusGPT offers a competitive advantage to those seeking to educate themselves on cryptocurrency and the Verus Protocol.
Llama 3 VerusGPT is an open-source domain-expert Language Model designed to answer questions about the Verus Protocol, trained on base Llama 3 8b model.
VerusGPT contributes to a better world by paving the way for unbiased social media platforms and next-generation social applications, promoting transparency and user-centric experiences.
The open-sourcing of Llama 3 VerusGPT and the availability of dataset generation code and training data make it an interesting and educational resource for anyone interested in AI and cryptocurrency.
Found this article helpful?
Share it with your network and spread the knowledge!
The Verus community has unveiled Llama 3 VerusGPT, a fully open-source domain-expert Language Model (LLM) aimed at answering questions about the Verus Protocol. This AI tool is designed to educate people about Verus in the short term and develop AI participants for Verus' decentralized blockchain economy in the long term.
Llama 3 VerusGPT is the first LLM dedicated to helping users learn about cryptocurrency and the unique features of the Verus Protocol. This AI tool is designed for both newcomers and builders, making the Verus ecosystem more accessible. VerusGPT can answer any questions related to the Verus Protocol and its advanced capabilities.
To try VerusGPT or use it as an example for your own projects, you can join the Verus Discord and visit the #verus-ai channel. The model can run locally or on a server, and you can access the model, files, and a tutorial on how all of this was done. These resources can serve as a step-by-step tutorial or starting point for anyone looking to train their own large language models on their company or community information. With its permissive license, others are welcome to integrate this data into their own LLM projects. You can access the model files, data pipelines, and step-by-step instructions on HuggingFace at Llama 3 VerusGPT.
The dataset generation code and datasets used to train Llama 3 VerusGPT are also publicly available. You can find them here.
This open-sourcing provides a powerful use case and demonstrates how domain-expert LLMs can be rapidly developed. By sharing these resources, Verus invites other companies, projects, and communities to learn how to train their own specialized AI models.
Llama 3 VerusGPT is built with Meta's Llama 3, trained on the base Llama 3 8b model. It uses a combination of generalized assistant-style data and special instruct tuning data focused on the Verus Protocol. Find the dataset generation code here.
Data has been used from: docs.verus.io, wiki.verus.io, Medium, API documentation, and the Verus Vision paper.
The goal behind this project is to produce a domain-expert AI capable of answering basic to intermediate questions about the Verus Protocol, community, and project. Additionally, it understands the Verus community ethos and mission, effectively communicating this to users.
VerusGPT paves the way for integrating Verus' self-sovereign and private identity protocols (VerusID) with LLMs, creating next-generation social applications. These applications will offer conversational experiences free from the biases of any particular company. Decentralized and unbiased social media platforms can create more transparent, equitable, and user-centric experiences, giving individuals full control over their content and interactions.
The global Verus community invites everyone to participate in this open-source movement to create LLMs for various communities and organizations. We also encourage you to start interacting with VerusGPT on Discord, where you can ask any questions about the Verus Protocol and receive expert answers.
Curated from BlockchainWire
