Prompt Engineering Skills that you need and are not coding- are Language and behavior

Silently since 2004, I have been working with and testing AI programs. Just for fun??? HELL YES. The reason is that most companies have understood human behavior since day 1.  Connection and empathy are going to make AI relate better to us, the humans. The study of Behavior, language and human pattern statistics brought Chat-GTP to life, among other programs.

For the last 20 to 24 months, the #1 training corporations have been asking me about “Language & Behavior Prompt Engineer”, a class that we never open to the public, but only to corportations- WHY??? Because the problem with AI is between the chair and the computer, YES, I am talking about you.

WAKE UP -AI needs to be an extension of you, but more intelligent, efficient and simple.

Don’t shoot the messenger, I am just letting you know you are missing the boat.

How AI has shaped our daily life for years

You used GPS, Alexa, Google, Chat Boots, video games, movies, and avatars online. Well, you use AI. Psychologists, Behavior analysts, anthropologists, linguists, and face reading profilers are part of what nobody can stop, AI in our daily lives.

How is this in your life???

Video Games and movies:

The characters, the faces, and the personalities are based on the work of the director, the person writing the screenplay, the actor, the casting and a behavior expert who understand personalities and Faces. How the characters are defined in movies and video games, is based on statistics.

Avatars:

That funny face or cartoon that looks like you is based on how you want to be seen and your patterns online.

Online search:

How many times have you been looking for a DIY new door and doors to show on any page you visit?

I think you have the idea.

 

What does Prompt Engineering-PE- do??? 

PE is a critical skill in the age of AI, requiring a blend of creativity, user understanding, technical knowledge, data analysis, and continuous learning. It’s not just about coding; understanding human psychology, language, and context is equally important.

The secret ingredient in prompt engineering is creativity, which is not just about artistic expression but also about imagining the multitude of ways a user might interact with an AI. Crafting effective prompts is an art, and it’s about using language in a way that’s both clear to the AI and natural for the user. To boost creative skills, practice lateral thinking, embrace curiosity, create a conducive environment, and make time for brainstorming. Understanding the user is crucial in prompt engineering, as it’s not enough to know what the AI can do; it’s also important to understand the context in which they’re using the AI. For example, if a user asks a voice assistant, understanding the context in which they’re using the AI is key to crafting an effective response. Prompt engineering is a field that involves the use of AI to create user-friendly prompts.

Part 2

Prompt engineer salaries in 2023

Prompt engineering is currently the BIGGEST  growing role in IT- The demand for prompt engineers is on a steady rise as organizations across various industries increasingly rely on software systems to optimize their operations and improve user experiences

How much can a prompt engineer make? Estimates vary dramatically, but salary reports range anywhere from over $170,000 to more than $300,000 per year and, some cases, up to $500,000. This may seem like an enormous salary for relatively straightforward work, but it’s important to look deeper.

Prompt engineering job complexity and responsibilities can vary widely depending on the company and the AI platform. The highest-paying roles can require deep knowledge of AI and extensive programming skills in order to construct complex prompts that involve thousands of precisely chosen words. It’s an aptitude that few people possess.

Industry reports project that the global software development market is expected to reach $1.5 trillion by 2027, leading to a significant demand for skilled prompt engineers. 

These salary figures highlight the lucrative nature of the prompt engineering field, making it an appealing career choice for aspiring technologists. 

These are some of the skills you will find on job boards when you look for PE positions

• Optimize language models using established techniques and tools
• Write prose to test AI systems for quirks (identify AI’s errors and hidden capabilities)
• Review and analyze datasets to identify patterns and trends in language and develop new prompts
• Develop and maintain documentation for language models (examples, instructions, best practices, etc)
• Train language models on new data sets, and monitor model performance to identify areas for improvement
• Collaborate with data scientists/software engineers to integrate language models into software applications and systems.

What is prompt engineering?

The misconception about AI and Prompt Engineer work

And why you can be a prompt engineer without a technical background.

When it comes to the most important skill for a Behavior Prompt Engineer, empathy stands out as the key resource to harness. Embracing empathy in your role as a Behavior Prompt Engineer is not just a valuable skill; it’s the foundation upon which successful interactions and user experiences are built.

6 non-tech prompt engineering needs – soft skills 

Here’s a look at 6 non-tech skills contributing to the development of AI technology via the multidisciplinary field of prompt engineering.

1. Communication

To be quick, engineers need to be good at giving directions, just like project managers, teachers, and other people who regularly tell others how to do something. Most people need a lot of examples to fully understand instructions, and the same is true for AI. It needs to be show examples from large language models, so it can write using different voices. 

2. Subject matter expertise

Subject matter expertise, whether it’s in healthcare, law, marketing, or carpentry, is useful for crafting powerful prompts. The devil’s in the details, and real-world experience counts for a lot when talking to AI.

3. Language

To get the AI to succeed, it needs to be fed with intent. That’s why people who are adept at using verbs, vocabulary, and tenses to express an overarching goal have the wherewithal to improve AI performance.

User experience, emotional content, sentiment, tendencies, study the data and translate this onto language the user utilizes in each field and work

One wrong word produces a very different outcome than intended. Instead of using programming languages, AI prompting uses prose, which means that people should unleash their inner linguistics enthusiast when developing prompts. 

4. Critical thinking

AI hallucinations occur when a chatbot is trained or designed with poor quality or insufficient data. When a chatbot hallucinates, it simply spews out false information (in a rather authoritative, convincing way). 

Basically, think outside the box, this is not learned from the UNI, guys.

5. Creativity

Trying new things is the very definition of creativity, and it’s also the essence of good prompt engineering. Anthropic’s job posting states that the company is looking for a prompt engineer who has “a creative hacker spirit,” among other qualifications. 

Yes, being precise with language is important, but a little experimentation also needs to be thrown in. 

Anticipate the model, behavior and pattern from humans, are things that only humans can teach AI.

6. LANGUAGE

Here is where I shine.

Let’s simplify what is in the language range.

A dear friend asked the person developing what is supposed to be the revolution in deception detection, if the program would be able to detect context and content. After 5 minutes of nonsense excuses, the answer was “NO”.

Let’s be clear, this is the self-proclaimed expert in linguistics. What? He is not? 

Example: I worked on a case a few years ago, where the detective in the case sent me a 4-page statement of a murder case. The suspect was accused of killing his wife. In the statement, the police asked, “How long did it take you to go home from work?” The person answered, “I am 10 miles away from my home”. As soon as I read this, I called the detective and told him to ask this question ”How long, in time, did it take you to go home that day?” The detective told me I was crazy because I wanted to know this out of all the things he said. 2 days went by and I didn’t have any call or email from the detective, so I called him. With a guilty voice, he said, “I hate to tell you that you solved the case” …………………… How did I do this? People talk, explain, and express in some basic ways. Description, time, distance, content, and context. Here, in this case, the suspect talked about the distance between his work and home, not the time. In LA, Miami, New York, 10 miles can mean 2 or 3 hours, in the forest where I live, it can be 10 to 15 minutes. Guess what? The suspect took 90 minutes to get home that day since there was an accident. They pinned the towers and found out that he was in traffic during the window of time when his wife was murdered. SO, the police looked at the video surveillance of the neighbours and found out that a man was visiting his wife a few times a week, and on that day, too. The husband was exonerated, and the right man went to jail. Context- content, and dictionary of the people we are talking with need to be present always.

Conclusion:

You need a basic knowledge on coding as high you want to get on the Prompt Engineer Field, but for an exclusive position called Language & Behavior Prompt Engineer, learn soft skills and the meaning of language, context and content –

Don’t wait for your competitors to call us; call us first.

Ready to make a change- Book a discovery call with us.

https://freebusy.io/susan@humanbehaviorlab.com/15min

Working on the humans that grow your business | Human Behavior Expert, I teach corporations & employees how to hack into humans using Behavior & Persuasion. I work with Pharma | Finances| Banking |Insurance| Sales| AI – Language & Behavior Prompt Engineering