AI Prompt Engineering Is Dead
notes
with so much hype being generated around a nascent technology that is evolving very quickly, the idea of prompt engineering and online prompt courses all feel very rushed.
we saw a much slower and thoughtful embrace of search engines, which share many of the approaches needed when embracing an LLM: understanding how it works and modifying your prompts (or searches) to improve your desired outcomes.
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summary
Since ChatGPT dropped in the fall of 2022, everyone and their donkey has tried their hand at prompt engineering—finding a clever way to phrase their query to get the best results. The Internet is replete with prompt-engineering guides, cheat sheets, and advice threads. In the commercial sector, companies are now wrangling LLMs to build product copilots, automate tedious work, create personal assistants, and more. New research suggests that prompt engineering is best done by the AI model itself, and not by a human engineer. Autotuned prompts are successful and strange. Image-generation algorithms can benefit from automatically generated prompts as well. Even if autotuning prompts becomes the industry norm, prompt-engineering jobs in some form are not going away. Adapting generative AI for industry needs is a complicated, multistage endeavor that will continue requiring humans in the loop for the foreseeable future.