In the ever-evolving world of AI, it's easy to get caught up in the hype surrounding new developments. One topic that's been making waves recently is the concept of prompt engineering as an emerging skill and career path. Prolego has been building applications with large language models (LLMs) like GPT-4 for years, and I'm skeptical of these claims. Here is a bit about prompt engineering and why it might not be the game-changer it's made out to be.
The term "prompt engineering" has become synonymous with the process of crafting inputs for LLMs to generate specific, desired outputs. It's often portrayed as a hot, new skill, but in reality, it can be broken down into two distinct domains:\
The first domain mentioned above is, without a doubt, a challenging field. However, we're still lacking the necessary tools and best practices to make it a viable career path. As for the second domain, it's more of a "skill" that can be acquired with a bit of practice, rather than a new, groundbreaking expertise.
Given the current state of these two areas, I'm not convinced that prompt engineering is on the verge of becoming a valuable, in-demand profession. While it might be an interesting topic to discuss on social media, there's still a long way to go before we can confidently call prompt engineering the job of the future.
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Prolego is an elite consulting team of AI engineers, strategists, and creative professionals guiding the world’s largest companies through the AI transformation. Founded in 2017 by technology veterans Kevin Dewalt and Russ Rands, Prolego has helped dozens of Fortune 1000 companies develop AI strategies, transform their workforce, and build state-of-the-art AI solutions.