Why TMDX is Considered a Knowledge Base

On the official website, I mentioned that TMDX is not just an AI editor but also a knowledge base. So, where does this aspect of being a knowledge base come into play?

We all know that AI models learn a lot of high-quality knowledge during training, but this knowledge is general and may not be suitable for specific needs. Therefore, if we want AI to answer our specific questions, we need to provide it with specialized knowledge.

For example, I asked the AI the following question:

This is a general question that the AI already knows from its training, so it gave me a response. However, I have my own special recipe for scrambled eggs with tomatoes, and I want the AI to reply with my unique recipe. What should I do?

The solution is simple: I just need to write an article detailing my method, save it, and then ask the question again.

My recipe article has already been written, see: https://tmdx.xyz/p/how-to-cook-tomato-eggs-xf2t97tdasjz

Now, when I ask the question again:

This time, the AI prioritizes my recipe and even provides a little summary with some suggestions.

Summary

This is how TMDX functions as a knowledge base. Videos seen on Douyin or information searched on Baidu are not your own knowledge; only what you write down yourself is your knowledge. In this way, TMDX not only helps you record and organize your own knowledge but also enables AI to provide more personalized responses based on your knowledge base.