The article is silly: LLMs are autoregressive. Dismissing prompting is dismissing one of the biggest value propositions of RLHF in that you can affect future o

The article is silly: LLMs are autoregressive. Dismissing prompting is dismissing one of the biggest value propositions of RLHF in that you can affect future output in a steerable way using natural language. Meanwhile the SOTA model in question didn't support fine tuning until last month, still only supports SFT, and costs significantly more than the base model. The fact the article concludes with "hire us" says it all: great marketing strategy with the title though.