base-seoul

#dailychallenge

How LLMs understand human(NLP) and how to make it understand better - for non-engineers.

- LLMs are trained with datasets and make expectations of statistical patterns of text, etc.
- Current LLM models apply self-attention to determine which parts of the input text are most relevant to each token.
- Since they don’t understand but predict what will come next, we need to know what dataset they used to train to make them understand better.
    - You can check their articles to see what kind of dataset they used to train.
    - However, for non-AI engineers, this might not be feasible.
- The most common way is to use a markdown format. 
    - Since it was trained with various developer documents, LLM understands this format better.
    - Also, markdown is simple and patterned, so it’s easier for LLM to understand.
- Make sure your prompts are structured.
- You can also implement CoT yourself.

To sum up, just use markdowns and structure your text.