This article explores the growing popularity of prompt-a-thon hackathons, designed to enhance prompt engineering skills. The author shares personal experiences organizing and facilitating these events, highlighting their effectiveness in helping users become proficient in leveraging generative AI and large language models (LLMs).
In today’s column, I explore the ongoing and expanding use of prompt-a-thon hackathons that serve to enhance both the core fundamentals and advanced techniques underlying prompt engineering and aid users in enhancing said vital skills. I also directly share some of my personal experiences organizing and facilitating prompt-a-thons.
Not all prompt-a-thons will have those five elements. Don’t assume that they do. There are ad hoc prompt-a-thons, which, if you know that’s what you are getting into, well, fine, but otherwise my suggestion is to ensure that the activity is planned and hopefully will get carried out according to the plan.To illustrate how a prompt-a-thon often proceeds, assume that there is a healthcare-oriented prompt-a-thon coming up that catches your eye .
There is a general expectation that if you attend a hackathon, it is usually due to a keen interest in potentially doing a startup business. You go there with a kernel of an idea and hope to find programmers who can turn this into a quick prototype. Or you are a programmer who doesn’t have a clear idea of what to develop but wants to find others who have business ideas, and you can apply your software development acumen to building.
PROMPT ENGINEERING GENERATIVE AI LARGE LANGUAGE MODELS HACKATHONS AI COMPLEXITIES
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