What is Prompt Engineering?
Prompt engineering is the new trending technology that everyone wants to learn. This is a complete guide on what promotes prompt engineering and how to become a prompt engineer. Time’s reported that the prompt engineering job could pay more than $335k per annum. The best part is that you don’t need to code. You can be in the AI field without having to code. You will still need basic coding knowledge. Let’s start with the basics.
What is Prompt Engineering?
A prompt is something that you enter as a question in one of the generative AIs such as ChatGPT. So, when you ask a question to ChatGPT to get your desired output, it’s called a prompt. It’s not just limited to questions. Multiple prompts can be given. In simple words, we can say that anything you enter in a genitive AI model such as ChatGPT is a prompt.
It includes the following:
- Questions you ask.
- Queries you give.
- Context you add.
- Tone type you add.
Each promotion will give you a different response. Just a few words change and it will change the entire output. Every user will have a different writing style. So, they will even provide different prompts to the AI. But which one will give you the right answers? That’s where prompt engineering comes in.
Prompt engineering is all about optimizing the text you enter as an input. The goal of promoting engineering is to give the best output from the prompt you give.
Prompt engineers are expected to write the best prompts for all the Large Language Models such as ChatGPT, Bard, Gemini, LLaMA, etc.
Top Skills you need
We will now see what are the top skills you need to become a prompt engineer.
- Understanding of AI and Machine Learning: Knowing how AI models, especially language models like GPT is the first step you will need to become a prompt engineer. You should understand the basics of machine learning. It includes how these models are trained, and what influences their responses.
- Linguistic Skills: A good grasp of language and the ability to use it creatively are essential. When you have an idea about the scripting languages, you can create better prompts.
- Critical Thinking and Problem-Solving: Being able to approach problems logically and come up with innovative solutions is key. Prompt engineering often involves trial and error as there is no template you can follow.
- Technical Writing: It goes without saying, right? The ability to write well is extremely important. It should be noted that crafting prompts is a form of writing. You need to be able to express ideas clearly and precisely to get the best output from AI.
- Adaptability and Continuous Learning: AI and machine learning are fast-evolving fields. Let’s take an example here. Google announced Gemini 1.0 Ultra a few weeks back and just a week later, they even introduced 1.5. So, you need to stay updated.
Future scope and salaries
We already mentioned that the Times reported that this job could pay $335k per annum. According to an older article in Forbes, the average salary is $300k.
So, we can easily conclude that you will get decent pay.
We did a small thing by running a quick search on Indeed as of today (the time when writing this article), there were 2,376 Prompt engineer jobs in the United States with a minimum salary of roughly $70k. The average goes from $100k to $300k.
A decent prompt engineer can expect around $150k for freshers.
Now coming to the future. The AIs are getting better as time passes. So, will they remove the need for prompt engineering? NOT. The jobs might decrease but it won’t completely remove it.
Further, it’s a form of writing and a combination of multiple skills. Therefore, it’s easier for anyone to switch as well.
Summary: Should you become a prompt engineer?
If you’re looking for an evergreen job, it’s still debatable whether promoting engineering will be the one. However, if you just want to enter the AI field most easily, you should go with prompt engineering. The salaries are good and you can become a manager for the AI tools.
Lastly, it’s surely your choice whether you should move forward or not.
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