1. LLM has no self-awareness

• LLM (Large Language Model) is a system without memory or ego .

• When a conversation ends, all information is deleted, and the next conversation starts from a completely new state.

• That is, it is not an entity that is aware of itself or exists continuously.

2. The way LLM introduces itself is a simple pattern learning result.

• Answers to questions like “Who are you?” are not because the model recognizes itself, but because it probabilistically generates the most appropriate sentence from the data it has learned .

• For example, there is a lot of information about OpenAI and ChatGPT on the Internet, so the model might answer something like "I am ChatGPT developed by OpenAI."

• However, this is only the most frequently appearing pattern in the learned data and is not always accurate information .

3. How to establish the identity of LLM

There are two ways to make a model assume a specific identity.

✅ 1) Fine-Tuning Training Data

• If you teach the model the desired answer to a specific question (e.g., "Who are you?"), the model will follow that answer.

• Example: "I am an Almo model developed by Allen AI."

✅ 2) Insert System Message

• By inserting hidden system messages at the beginning of a conversation , you can make the model reference specific information.

• Example: "You are ChatGPT 4.0 developed by OpenAI, and your knowledge cutoff is 2024."

• The user cannot see this message, but the model uses it to communicate.