Domain knowledge contribution

Even though the diffusion process is one of the most advanced and useful AI models, one of the biggest problems is that centralised platforms can't cover all areas of human knowledge. This makes it difficult to create and train models on specific subjects, which can limit the diversity and creativity of the generated content.

To solve this problem, we are looking for help with building blocks for creating and training models on any specific topics that the community is interested in. By working together, AIGC Chain covers all of human knowledge. This lets it make very accurate and useful content in a lot of different fields. In the images below, AIGC Chain's base model already knows a little bit about cats in general, but it doesn't know about Persian cats or Garfield cats. The user can register Garfield Cat as a keyword on the network, and train a small model for Garfield Cat by uploading relevant images.

AIGC is the latest technology focused on disrupting the traditional means of producing images, text, videos, 3D objects, and so on. When users use AIGC, they are required to give commands by entering keywords or subject names that are linked to the related trained models. These keywords or subject names are used to find the right models that will be used to make the content, which is then made by running the models on a GPU server. The generated content is pushed to the user.

As in any other business, users who make content pay the owners who provide keywords, servers, and storage and keep them running. AIGC Chain is also an infrastructure that facilitates this supply and demand. As AIGC becomes a bigger part of people's digital lives, AIGC Chain will be able to handle more transactions.

Training models with unique keywords is similar to registering a website, where the keywords are assigned on a first-come, first-served basis. This provides an opportunity for those who are most in need and have a high level of business sensitivity to explore the advantages of this opportunity. Of course, even if a keyword for a subject has already been registered, participants can still register similar keywords by adding an extension to them. As long as the models are trained with the most relevant data, the highest-rated keywords will rank higher and be more valuable for users to use.

AIGC Chain chooses which small models to recommend based on a number of factors, such as user engagement and relevance. In the future, users may be able to create content without typing specific keywords, thanks to natural language processing. The platform will have a drop down menu under the same key word with a ranking system, where users can select the most relevant and highly-ranked models.