Is ‘Prompt Engineering’ the Future of AI?
By now you’ve probably heard about Chat GPT. ChatGPT is a large language model developed by OpenAI. It is trained on a dataset of conversational text and is able to generate human-like responses to a variety of text inputs. It can be used for a variety of natural language processing tasks, such as language translation, text summarization, and question answering.
Basically Chat GPT is a chat bot that answers your questions about pretty much anything. Math questions, ideas for cooking, complex science formulas, development and code, and so much more. The possibilities are endless.
With the growth of Chat GPT, a new phrase has come out that people are often referring to. That is prompt engineering. I originally found out about this term through Max Maher’s YouTube video titled ‘This Bizarre Skill Makes You RICH With ChatGPT‘. Watch the full video below to learn more.
What is Prompt Engineering?
Prompt engineering is the process of creating and fine-tuning the input text (or “prompt”) given to an AI tool such as ChatGPT in order to get much better results and solve your problems better. Think of it as giving the best possible directions so you can get exactly what you are looking for.
The goal of prompt engineering is to control the output of the language model (AI tool) by providing it with specific context or constraints, rules, etc. This can be done by carefully and manually crafting the input text, or by providing additional information such as keywords or labels along with the input text to Chat GPT or other tools. The process of prompt engineering can be iterative, with the model’s output being analyzed and the prompt being adjusted based on the results. You can also regenerate questions/answers, and learn a lot through the various answers.
If you’re looking for a place to get started with prompting and prompt engineering, check out Learn Prompting. It’s an awesome free and open source course on communicating with artificial intelligence.
What’s a Prompt Engineer?
A prompt engineer is a person who focuses on entering well-crafted prompts, rules, and directions to get specific results from AI tools. This can involve advanced input text, specific labels or input strategies, and much more. It also involves understanding the capabilities and limitations of the AI model or tool the engineer is using, and crafting the input text in such a way as to guide the model’s output towards a very specific goal.
This is a brand new job that was literally only created in late 2022 and early 2023! See the tweet below to learn more about how fast this job category is growing. The salaries are nothing to shy at either.
Prompt engineering is on 🔥
— swyx (@swyx) January 20, 2023
First, @alexandr_wang hires @goodside as the world's first Prompt Engineer
Then, @chamath talks it up on @theallinpod
Now @AnthropicAI is setting the market rate on prompt engineers: $250k – $335k + equity (!)
Only basic coding ability needed. pic.twitter.com/lER5XbcIVO
Prompt engineers work on natural language processing (NLP) projects and are responsible for designing and creating the prompts that the models will respond to, fine-tuning the models based on the output, and analyzing the performance of the models on a regular basis to improve their performance. They also work closely with data scientists and NLP researchers to evaluate and improve the performance of the models and make sure the prompt aligns with the project goal.
These jobs are incredibly important because they help expand the capabilities of AI tools like Chat GPT, Midjourney, and many others.
Is this the Future of AI?
With the recent growth of this career space, it is looking like a promising sector of the technology and AI world. Do you believe there will be a lot of companies listing Prompt Engineer or similar jobs? It appears that prompting could take AI much further and may lead to its ultimate future.
What do you think? Leave a comment below to share your thoughts.
Woah, I had never heard of prompt engineering before reading this but it sounds incredibly powerful! The idea that you can carefully craft prompts to get AI like ChatGPT to give you much better, targeted results is mind-blowing. This makes so much sense why people are calling it the future of AI – being able to guide the models’ outputs seems key to really leveraging them well. Prompt engineer as an actual job title is wild too, but with how fast this field is moving, I guess it’s no surprise companies need dedicated roles for it already. Really fascinating post overall – gave me a ton of “aha” moments on how prompt engineering works and just how pivotal it will be going forward. Excited to see where this takes AI capabilities in the future!
Recently, I came across a chat prompt engineer’s work, and it was quite an eye-opener. It’s fascinating how these professionals use their skills to shape how we interact with AI. Just the other day, I was trying to figure out the difference between a prompt engineer and an AI engineer. It’s quite a complex world! These experts really have a knack for making technology more user-friendly. It’s amazing how much easier they make it for us to communicate with AI systems, which otherwise seem so complicated!