One use of LLMs that I haven’t seen mentioned before is to use them as a sounding board for your own ideas. By discussing your concept with an LLM, you can gain fresh perspectives through its generated responses.
In this context, the LLM’s actual comprehension is irrelevant. The purpose lies in its ability to spark new thought processes by prompting you with unexpected framings or questions.
Definitely recommend trying this trick next time you’re writing something.
My issue is that they train their models on your data, so that fresh new idea becomes it’s fresh new idea.
You can run models locally nowadays on fairly modest harware. I use GPT4all and it works great https://github.com/nomic-ai/gpt4all