Crynux Blog

[Bittensor x Crynux] Creative Content Revolution: the Federated Fine-tuning Subnet

[Bittensor x Crynux] Creative Content Revolution: the Federated Fine-tuning Subnet

Videos, music, images and text, generative multi-modality models are revolutionizing the way we create content. These advanced tools are not only incredibly useful but are also pioneering new avenues in creative content production, significantly reducing the workload involved. For instance, consider a music generation model capable of composing chiptune pieces

HappyAIGen Is Now Live!

HappyAIGen Is Now Live!

🎉 Exciting News: HappyAIGen Is Now Live! 🚀 Play to Earn, and Have Fun! HappyAIGen, our community-driven project, powered by AI tools from the Crynux Network, is officially live today! Dive into a world of fun activities while earning credits along the way. Join our Discord server to kickstart your journey with

The Helium Network

The Helium Network

We are excited to announce the release of the Helium Network, which is the second testnet of the Crynux Network. The Crynux Network evolves through the sequential release of various networks, each building upon its predecessor by introducing additional features and improvements. Initial releases are designated as testnets, serving as

The Hydrogen Network

The Hydrogen Network

We are thrilled to announce the release of the Hydrogen Network. A fully featured decentralized network that supports running the Stable Diffusion image generation tasks. From the application's perspective, it is an inference API service on the cloud that could be used just like AWS. The application submits the task

A Practical Verification Mechanism for Decentralized GPU Sharing

A Practical Verification Mechanism for Decentralized GPU Sharing

The verification mechanism is critical to every decentralized network. Vulnerabilities in the mechanism will lead to the collapse of the entire network. In the decentralized GPU sharing network, the individual GPU holders contribute their spared computing power to the network in exchange for the profit, and the users pay to

Stable Diffusion Workflow Reimagined: Cheap, Flexible and more Powerful

Stable Diffusion Workflow Reimagined: Cheap, Flexible and more Powerful

Stable Diffusion and AIGC has become a groundbreaking tool that has transformed the landscape of various industries, offering unprecedented benefits and opportunities. Being an open source solution, the original Stable Diffusion models are freely accessible to the public. The open source toolkits around the models, such as the web user

LLM Fine-tuning using the Distributed Private Data

LLM Fine-tuning using the Distributed Private Data

Recently, Large Language Models (LLM), such as ChatGPT, have gained tremendous attention in academia and industry communities. Comparing to the previous GPT-2 and BERT models, the results achieved by ChatGPT are truly impressive. The training of LLM demands large scale computational power and extensive data requirements. The training requires a

On-chain Verification of the LR Model Training using ZKP

On-chain Verification of the LR Model Training using ZKP

In the last article, we have given a sketch of the full picture of the next generation data trading infrastructure which is built using Privacy-Preserving Computation, Zero-Knowledge Proofs and the Blockchain: ZKP: the Last Piece in the Puzzle of Data TradingThe hunger for data arises as the development of the

ZKP: the Last Piece in the Puzzle of Data Trading

ZKP: the Last Piece in the Puzzle of Data Trading

The hunger for data arises as the development of the Artificial Intelligence. Thus created the market of data. However, there are several problems standing in the way of data trading. Data, unlike the traditional merchandise, could be copied at no cost. The buyer who purchased the data could sell the