Everyone should know that DIY cakes are quite popular now. Whether it’s for anniversaries or birthdays, many people enjoy making one themselves. Take birthday cakes, for example; you choose a basic cake base and then add fruits, spread cream, and decorate it according to your own preferences, ultimately creating a unique cake that is particularly meaningful.

In fact, in the field of AI, the customization of large language models is quite similar, and ModelFactory is a tool that can help us achieve this customization.

It is a large language model fine-tuning platform within the @OpenledgerHQ ecosystem. I think the most convenient aspect is that it can be operated entirely through a graphical interface, unlike some fine-tuning frameworks that require coding and API integration, which is very friendly for those of us who are not very tech-savvy.

In simple terms, it allows us to transform the foundational large language model using those datasets authorized by OpenLedger.

ModelFactory is the workbench that allows us to smoothly combine these materials, and throughout the process, the safety and ownership of these materials are guaranteed, so there's no need to worry about any issues.

Let's talk about its system architecture. The user management module is responsible for identity verification and dataset permissions, just like a DIY cake shop reservation, only those who have made a reservation can go to the shop to use the materials and tools.

The dataset access control module manages data security access, just like a storeroom for high-quality raw materials, where only authorized personnel can access it. The fine-tuning engine is like an experienced baker guiding us in our operations, responsible for blending various materials into the model.

The chat interface module is where we communicate with the model. The RAG attribution module can indicate the sources of the content generated by the model, while the evaluation and deployment module is responsible for testing whether the model is effective and can be delivered for use.

Overall, ModelFactory integrates dataset access control and model fine-tuning smoothly, making it both secure and easy to operate, and it is indeed quite practical.
#OpenLedger # KaitoAI #COOKIE