Maria
Maria
from Ukraine
See my story
Gonçalo
Gonçalo
from Portugal
See my story
Alejandra
Alejandra
from Colombia
See my story
Pier
Pier
from Italy
See my story
Sandra
Sandra
from Mexico
See my story
Frederik
Frederik
from Denmark
See my story
beign your career journey with accenture

search in jobs
language
language
industry
industry
city
city
published: 30 Jan 2024 in Work

What is Prompt Engineering?

Kamila Brzezińska
Kamila Brzezińska

Editor

In the age of artificial intelligence, a new profession seems to be emerging at the forefront of the professions of the future – Prompt Engineering. What does it entail and what skills are necessary to pursue it?
Photo by Amador Loureiro, Unsplash

Photo by Amador Loureiro, Unsplash

related articles

published: 25 Jan 2024

ADHD at work

related offers

Inside Sales Account Representative with Slovenian
flag English, Slovenian, Croatian, Serbian
locationWarszawa
2024-06-13
Content Reviewer - Fluent Ukrainian
flag English, Ukrainian
locationKraków
2024-06-03
Content Reviewer - Fluent Romanian
flag English, Romanian
locationKraków
2024-06-03

Prompt Engineering is the art of creating prompts or queries that guide the behavior of machine learning models particularly those based on Large Language Models (LLMs) such as the Generative Pre-trained Transformer (GPT).

The main goal of said engineer is to create input instructions that would produce accurate, consistent, and contextually relevant answers from these models.


The profession of the future?

As the complexity and capabilities of language models have increased, Prompt Engineering has become a key step in harnessing their potential. It goes beyond traditional programming, relying on a comprehensive understanding of the nuances of language, context and the underlying mechanics of the models themselves.

This is particularly relevant in the context of the future.

As artificial intelligence permeates various industries, the need for professionals with the skills to guide and improve language models will grow. Prompt Engineering is poised to become a key profession.

That's because it holds a very broad potential, from 'generating' content and developing chatbots, to more sophisticated tasks such as data analysis and problem solving.

Consequently, the ability to leverage the power of language models for specific purposes is becoming increasingly valuable. What's more, it will find use in a wide range of areas. Already, industries such as marketing, healthcare, finance, and customer service are seeing the potential of Prompt Engineering to streamline their processes and deliver more personalized, efficient, and accurate results.


Required skills

The following qualifications are usually expected of a candidate seeking employment as a Prompt Engineer:

Fundamentals of machine learning:

While a profound immersion into the intricacies of machine learning is not necessarily required, understanding its fundamentals is crucial.

Language proficiency:

An in-depth understanding of language structures, semantics, and syntax is essential for creating effective prompts. Moreover, when dealing with different user bases, proficiency in several languages can be particularly beneficial.

Creative thinking:

Creating prompts that bring innovative and useful answers often requires creative thinking. Prompts engineers must be able to think outside the box to generate unique inputs that bring value to the end user.

Troubleshooting:

Prompt Engineering often involves problem-solving and refining prompts to achieve desired results. These skills are essential for identifying difficulties and improving the performance of language models.

Domain-specific knowledge:

Depending on the intended application, domain-specific knowledge can be very useful. Whether it is healthcare, finance, or technology, understanding the context in which language models are used increases the relevance and accuracy of the answers generated.

Ethical Awareness:

As language models become more powerful, ethical issues become particularly important. Prompt Engineers should be aware of potential biases and ethical implications, working to minimize their negative impact on the results.


Sources:

IBM – Prompt Engineering

related articles