What is LLM-Wiki?
It is a structured information library where artificial intelligence models are fed from external sources to provide more accurate and up-to-date answers.
Overview
Artificial intelligence models cannot update their knowledge when their training ends. LLM-Wiki is a reference source that allows these models to access up-to-date and verified information from the outside world. The model produces more reliable results by looking at this library when it encounters a question.
How it works
The system takes the user's question and searches for relevant information in this library. The information found is transmitted to the artificial intelligence as a note. Artificial intelligence uses these notes to prepare the most accurate answer for you.
Where it is used
It is used in corporate information systems, technical support bots and artificial intelligence applications that need to follow current news.
Commonly confused with
It is similar to the RAG system, but here the emphasis is on keeping information in a more organized and encyclopedic structure.
Frequently asked questions
Why is LLM-Wiki necessary?
It enables artificial intelligence to accurately convey private company data or current events that it does not know or may remember incorrectly on its own.
Can anyone create their own LLM-Wiki?
Yes, you can specialize your AI by putting together your own documents or database.
Related terms
This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →