> The only way to have an LLM where data and instruction never meet, in my view, is one that doesn't update in response to prompts (and therefore can't carry on a multi prompt conversation).
Do you mean an LLM that doesn't update weights in response to prompts? Doesn't GPT-4 not change its weights mid conversation at all (and instead provides the entire previous conversation as context in every new prompt)?
Do you mean an LLM that doesn't update weights in response to prompts? Doesn't GPT-4 not change its weights mid conversation at all (and instead provides the entire previous conversation as context in every new prompt)?