I feel like there is an emerging consensus that [Chat]GPT 3.5/4 is not just 1 big model. A large part of the magic in the final product appears to be many intermediate layers of classification that select the appropriate LLM/method to query. The cheaper models (e.g. Ada/Babbage) could be used for this purpose. Think about why offensive ChatGPT prompts are rejected so quickly compared to legitimate asks for code. Imag…
Given that the emergent abilities come from the large parameter count and massive amount of training data, using smaller models seems like a distinct disadvantage.