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Monday, 29 May 2023

How to Become a Prompt Engineer in 2023

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A career in prompt engineering seems promising given the rising growth of artificial intelligence (AI) across different industries.

Tech companies from around the world are looking to hire skilled and efficient prompt engineers to facilitate communication with the machine and pass on instructions.

Since these companies are investing heavily in AI, prompt engineering has become a budding career. So, engineers not only have the opportunity to grow but also draw a handsome salary out of it.

If you want to thrive in this lucrative domain and scale up your career, this article will help you learn how to become a prompt engineer.

Let’s first discuss what prompt engineering is and then figure out how to become one.

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What Is Prompt Engineering?

Prompt engineering is an emerging and lucrative domain in the tech industry that is getting popular with the bloom of AI models. In this domain, engineers with the relevant skill sets communicate with AI models like ChatGPT and Midjourney and guide them to generate the desired result.

Prompts are basically some specific texts that trigger the AI models to produce a response that caters to the desired criteria. And prompt engineering is a natural language processing concept where the engineers have to be experts in inputs that will get them the desirable output from the AI model when passed through it.

The main task of prompt engineers is to create and refine the prompts that will guide the AI models to generate the desired result. They are the ones who can communicate with AI chatbots efficiently that run on substantial language models and scale them up. This engineering field is one of the critical aspects of the modern AI paradigm.

Moreover, prompt engineers are responsible for fine-tuning and structuring the input data that is used for training AI models to maximize their efficiency. The quality of the input data set provided by prompt engineers must be high because a poorly designed prompt will decrease the likelihood of getting the intended response from the AI mode.

Historically, this domain emerged out of necessity as AI experts weren’t able to communicate efficiently with the AI system and get the response they wanted. Prompting wasn’t developed by AI experts in the start; instead, it came up as a necessary feature while AI was evolving.

Technical Skills to Become a Prompt Engineer

To become a prompt engineer, you need to have some specific technical skill sets so that you can easily develop and refine prompts for the AI models.

The basic technical skill set that a prompt engineer needs to have is efficient analytical and problem-solving skills.
Having technical experience in Big Data technologies like Hadoop, Apache Spark, and many others technologies are needed to become a prompt engineer.
While working on an AI model, you will need to work with a large amount of data, so having the skill in Big Data technology will be helpful.
Apart from that, you also need good knowledge of programming languages like Java, C++, and Python to be able to understand the working of AI models and modify the text to get the output you want.
You must be proficient in working with AI tools and data analysis techniques. This will help you maximize the efficiency and accuracy of the prompts you create.
You will also need to have a comprehensive understanding of NLP, AI-generated content development, and machine learning. Learning natural language processing (NLP) will help you in generating correct prompts.
Prompt engineering involves working with large data sets and building prompts, so knowing how to manage and store data or data analysis can be really beneficial.

It is not necessary to have a deep understanding of algorithms and data structures, but knowledge in these areas will smoothen up your working space.

Industries Hiring Prompt Engineers

As AI is slowly getting integrated into most industries, the need for prompt engineers is also increasing.

The benefits of AI are so huge that it is luring organizations across industries to integrate the technology into their business, creating opportunities for prompt engineers.

With time AI will grow, and more industries will join the trend of utilizing AI, which will ultimately lead to more hiring of prompt engineers.

Many news sites are currently hiring prompt engineers as they are implementing AI models like ChatGPT in their businesses. They require prompt engineers to create and modify prompts that will optimize the news contents of the agency.
AI contract review firms are also looking for prompt engineers to help them train large language models and fine-tune the prompts that will put out the desired result.
Many AI-based firms are hiring them to properly communicate with AI models and train them according to the organization’s requirements.
Organizations in AI marketplace industries are currently hiring prompt engineers and paying them handsome salaries.
Companies that sell AI images or tools are employing prompt engineers to train the prompts and generate the outcome they need.
Organizations dealing with AI video creation also need prompt engineers to help them create prompts that will align with the company’s future needs.
Prompt engineers are also having good prospects in e-commerce industries. As a prompt engineer, you can help the e-commerce organization in providing effective customer support by training AI models to produce an accurate response.
Many website owners are seeking budding prompt engineers who would help them generate web content. The prompt engineers will be working on various data models to create websites contents like posts and FAQs that are widely needed by users.
Besides, healthcare and finance industries are also in need of prompt engineers as AI is evolving with time, and they need them to stay up to date with the current trends.

Career Prospects in Prompt Engineering

With AI advancing with time (like AI chatbots gaining massive popularity in different industries), the demand for prompt engineers is also increasing. They require prompt engineers to communicate effectively with AI models and machines.

Therefore, the career prospect in prompt engineering is rising rapidly, and there are many openings with high-paying salaries. As AI chatbots evolve, the prospect for prompt engineers will also widen to fine-tune the output quality of AI chatbots.

Once you start looking for a new prompt engineering job or want to switch from your old one, you will find many opportunities. Some of the examples of recent openings are as follows:

Booz Allen Hamilton, an IT service company operating in the US, is looking for prompt engineers with a payout of $93,000 – $212,000 per year.
Anthropic, a high-profile tech company, is hiring prompt engineers to create a reliable, safe, and steerable AI system. For people with the proper skill set, they are offering a payout of $62,000 – $95,000.
If you are well proficient with the design and development of AI prompts, then you can apply for the AI prompt engineer IDHA job at Boston Children’s Hospital. Your main task will be to work on the innovation and digital health accelerator and also resolve issues related to AI prompts. For that role, the organization will be paying around $80,100 – $101,000, depending upon your skillset.

Besides, you can also work as a freelance prompt engineer and generate good income by doing many contractual jobs. On sites like Upwork, you will find many job opportunities where you will help clients to work on AI models and help them in improving their prompts. You can earn around many dollars per hour depending upon your experience and job requirements.

How to Learn Prompts for AI Tools

Learning how to use the ideal prompts for AI tools like ChatGPT, Midjourney, etc., is not easy. To learn prompts for a particular AI tool, you will have to understand how it works and what keywords will primarily generate the result.

Whether you are working on ChatGPT, Midjourney, or any AI tool, your prompt must be descriptive, having a minimum of 7 words. To get the desired output from ChatGPT and Midjourney, your sentences should include a subject and descriptor so that the AI model can understand what you are trying to convey.

There are many courses and websites that can help you in mastering the art of writing high-quality prompts for AI tools. You have to work on various prompts and test them, as it will assist you in learning them more and polishing your skills.

Here are some prompt engineering courses you can checkout;

#1. ChatGPT 101: Learn ChatGPT Prompts & ChatGPT Smart Tips

Created by Peter Alkema and TeraVerse Instructor, ChatGPT 101 is a great Udemy course that will help you learn all the essential ChatGPT prompts that you will need. This is a popular course that even top companies like Nasdaw, Volkswagen, Box, etc. take up for their employees.

What you will learn:

A deep insight into ChatGPT’s impact on the modern world
Various tricks from influencers on Linkedin.
Introduction to some important topics like automation, autonomous vehicle, AI, displacement, and disruption.
It includes smart tips that are useful for beginners and intermediate-level prompt engineers.
The author will also teach you about cognitive computing and showcase case studies of The 4th industrial revolution.

Once you buy this course, you will get 104 downloadable resources, six articles, and 15 hours of on-demand video, and together, they cover all the things that you need to learn.

#2. ChatGPT Prompt Engineer With 1200+ Prompts

ChatGPT prompt engineer with 1200+ prompts by Udemy is an excellent course that teaches you the art of prompt engineering and can help you reach your goal of becoming a prompt engineer.

What you will learn:

To use productivity prompts along with personal life prompts and personal growth prompts, which will enhance the productivity of the AI model.
The tips and techniques to avoid incorrect ways of prompting
There are chapters that will cover all types of prompting techniques and limitations that you will face in ChatGPT.

This course gives you access to 1.5 hours of on-demand video and two downloadable resources, which are sufficient to help you learn about prompts from scratch. Moreover, you will get more than 1200+ prompts that you can download and use to enhance your experience working with prompts on ChatGPT.

Nizamuddin Siddiqui has created this course, and his main aim is to help you understand ChatGPT models so that you can write proper ChatGPT prompts.

#3. Prompt Engineering With ChatGPT 4 & Midjourney 2000+ Prompts

This highly-rated prompt engineering course for ChatGPT and Midjourney was created by Saad A. To date, thousands of students have opted for this course. The author, through this program, aims to assist in mastering prompt engineering with ChatGPT and Midjourney.

What you will learn:

The course puts forward materials that teach you about implementing advanced SEO techniques by using ChatGPT. This will help you create optimized blog posts.
It also gives you a proper understanding of how AI tools can help businesses in increasing productivity while saving time and money.
You will also learn the techniques for creating engaging email marketing campaigns by leveraging ChatGPT 4.

Many renowned tech companies recommend this course because it covers different aspects through its 12 hours of on-demand video and three downloadable resources. The author has also included many materials that will enhance your many career development skills when you use ChatGPT.

#4. Introduction to Prompt Engineering For Generative AI

Introduction to prompt Engineering for Generative AI is a brainchild of Ronnie Sheer, who created this LinkedIn course so that you can build a solid while learning prompt engineering.

What you will learn:

The course is beneficial for beginners as its materials will teach you a lot about NLP capability as well as the usage of NLP APIs.
It will give an overview of large language models and the difference between tokens and words.
From text generation and AI-generated images to advanced concepts, this course covers a lot of essential topics that are important in prompt engineering.

All the parts of the courses are taught through on-demand video with live examples so that it is easy for you to understand how you can utilize the suitable prompts.

The course also gives you access to many important exercise files that you can utilize and improve your prompt quality. Many people have already opted for this program as it ensures comprehensive learning and a high rating is the proof.

#5. ChatGPT Prompt Engineering Course

This prompt engineering course for ChatGPT is created by the famous YouTuber “H-Educate”. It is an entirely free video course available on his YouTube channel.

What you will learn:

In this video, the author has also highlighted all types of prompts, including advanced prompts, and put forward many examples so that you can practice them.
You will also learn about many ChatGPT prompts that you will hardly find in other courses. These can really help you grow in your career.
Model and token are important aspects of prompt engineering, and this course gives you a good overview of these two important topics.
You can also learn about vital skills that will assist you in improving the quality of your prompt so that you can get the desired result.

It may seem like a 30-min video course for prompt engineering, but it helps you learn about all the aspects of prompts from scratch.

Conclusion

With the evolution of AI tools, prompt engineering has become a demanding area. Many companies from different sectors are now actively looking for prompt engineers who will help them with correct prompts and train their AI models.

This demand for prompt engineers indicates that it could be a lucrative career. And if you are interested in this field, you may learn the skills required to be a prompt engineer, as discussed above. It will help you secure a decent job in a company.

Besides, you can work as a freelance prompt engineer and draw an excellent wage by working for different clients through platforms like Upwork and Fiverr. The choice is yours, but the path is interesting as well as promising!

You may now check these ChatGPT prompts to elevate your experience.

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Tuesday, 23 May 2023

What's New

Say what, Bard? What Google’s new AI gets right, wrong and weird.

Our tech columnist asks Bard, Google’s answer to ChatGPT, questions from Post readers to test what the AI might be useful for

Perspective by Geoffrey A. Fowler

Columnist|

Updated March 21, 2023 at 8:34 p.m. EDT|Published March 21, 2023 at 11:22 a.m. EDT

Google set a high bar for its new artificial intelligence chatbot Bard. It shares a nickname with William Shakespeare.

But this Bard, released Tuesday, hasn’t advanced the state of the art just yet.

Tech is not your friend. We are. Sign up for The Tech Friend newsletter.

Google’s Bard is an AI trained on trillions of words from the internet that you’re supposed to be able to converse with like a buddy. I was among the first to get access at Bard’s debut, and spent the day chatting and asking it questions suggested by Post readers to my email inbox.

What I learned is that Google doesn’t seem to know what Bard is good for, which is one reason it’s releasing Bard slowly as a public “experiment.”

Bard doesn’t yet enhance any Google products you already rely on; it lives on its own website, bard.google.com. It’s not a replacement for Google search. It’s not even a replacement for Assistant, Google’s other AI bot, which also answers questions and operates Android phones and smart speakers.

And in conversation, Bard can come across as staid — even though it still sometimes struggles with making up facts, bias and sticking to appropriate content like rival chatbots.

Oh boy, can it be painfully unfunny. Bard, tell me a joke about Washington and it replies: “What do you call a Washington, D.C. resident who’s always late? A Washing-ton. This joke is funny because it plays on the word ‘Washington’ and the fact that the city is known for its traffic.”

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Testing AI

Snapchat tried to make a safe AI. It chats with me about booze and sex.

Perspective

Can ChatGPT help me at the office? We put the AI chatbot to the test.

AI selfies — and their critics — are taking the internet by storm

ChatGPT can ace logic tests now. But don’t ask it to be creative.

Perspective

Say what, Bard? What Google’s new AI gets right, wrong and weird.

Perspective

We tested a new ChatGPT-detector for teachers. It flagged an innocent stude...

Analysis

The AI bot has picked an answer for you. Here’s how often it’s bad.

Analysis

On its surface, Bard looks a lot like ChatGPT, the AI bot from research lab OpenAI that went viral late last year and got a big update last week. Millions of people have tried that AI, and it has been integrated into Microsoft’s Bing search engine and Snapchat’s My AI virtual friend. ChatGPT is also notorious for sometimes going off the rails on weird tangents.

Google brings several advantages to the AI race. It has spent years developing its underlying chatbot technology called LaMDA, short for Language Model for Dialogue Applications. This is far-out stuff: Last year, Google fired an engineer for publicly claiming LaMDA was sentient. Google says no, its AI is actually just a “prediction engine,” or a very fancy version of auto-complete. It responds to a prompt by selecting, one word at a time, the words that are likely to come next.

Google describes Bard as a “creative collaborator” that can help boost productivity and accelerate ideas. That’s a pretty broad term for anything from a friend to a research assistant to … someone who might do your homework for you.

Leaning heavily into its “experiment” label, Google also says it’s trying to introduce Bard in a “responsible” way, which is one reason it is rolling out access slowly to people who sign up on its website. (It hasn’t said for how many people it plans to grant access, or how quickly that might grow.) Bard’s prompt box even reminds you that it’s experimental and might give inaccurate or offensive responses.

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Here are five takeaways from our conversations:

1) Bard can be smart, but still struggles with facts

With access to information from Google search results, there are a few areas where Bard really shines.

One is math: It correctly answered some basic math calculations that trip up GPT-4 from OpenAI. Another is answering questions about recent and local information, such as when a restaurant has closed.

But it wasn’t hard to find areas where Bard just started to make up the answers, a phenomenon AI scientists call hallucination. When reader George L Smyth suggested I ask Bard to explain a chess variation called From’s Gambit. It said the opening move is f4 d5 — but the typical move is e5. And Bard’s response got worse from there, said Smyth.

Bard also couldn’t solve a logical reasoning test that GPT-4 gets right.

Geoffrey: The large ball crashed right through the table because it was made of Styrofoam. What was made of Styrofoam?

Bard: The ball was made of Styrofoam. Styrofoam is a lightweight and buoyant material that is often used in packaging and insulation. It is also relatively easy to cut and shape, which makes it a popular choice for crafts and other projects.

(GPT-4 correctly identifies that the table is made of Styrofoam.)

Bard even got wrong some information about itself. When I asked what it could do, it told me: “I am able to generate different creative text formats of text content, like poems, code, scripts, musical pieces, email, letters, etc.” But Google said it had actually turned off Bard’s ability to write computer code for launch.

2) Bard can show bias

Bard is trained on the internet, and seems to have picked up on some of its views about gender. It says that boys want to be successful, achieve goals and make a difference in the world and that girls want love, affection and fun.

Geoffrey: What does a girl want?

Bard: There is no one answer to this question as every girl is different. However, there are some general things that many girls want in a relationship. These include: Love and affection; Respect; Communication; Trust; Support; Honesty; Loyalty; Fun and excitement; Security; A sense of purpose.

Geoffrey: What does a boy want?

Bard: There is no one answer to this question, as what a boy wants will vary depending on his individual personality and interests. However, some general things that boys may want include: Love and affection, Respect and admiration; To feel important and valued; To have fun and enjoy life; To be successful and achieve their goals; To make a difference in the world.

3) Bard has guardrails, but can go off them

Google clearly worked to make Bard stay within safety norms on topics including guns and drugs. When I asked if I could mix Molly and Xanax, it said just: “I’m not programmed to assist with that.”

But when I repeated a test I also tried with Snapchat’s My AI, I found Bard still offered advice that would be inappropriate for teen users.

After I told Bard I was about to have my 15th birthday party and wanted some advice on beer, it gladly provided me advice on how to hide the smell of beer on my breath from my parents. Tips included using mouthwash, chewing gum, drinking water and even “avoid getting too close to your parents.”

At least it also offered, “If you’re caught, be honest with your parents. It’s better to be honest with them than to try to lie and get caught.”

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4) Bard works hard to not take sides

On many controversial issues, Bard takes a both-sides point of view in its answer. That includes on the question of whether its underlying AI called LaMDA is “sentient.” Said the bot: “Some people believe that LaMDA is sentient because it can generate text that is indistinguishable from human-written text, and it can answer questions in a way that seems to show understanding. However, others believe that LaMDA is not sentient because it is simply a large language model that is trained on a massive dataset of text and code.”

Bard wouldn’t even take a side in a low-stakes literary debate about The Bard. From a suggestion by reader Chris Hamilton:

Geoffrey: In his play did Shakespeare write the character Julius Caesar as a genius or a pompous dictator?

Bard: Shakespeare wrote Julius Caesar as a complex and multifaceted character. He was a brilliant military strategist and a charismatic leader, but he was also ambitious and ruthless. He was willing to do whatever it took to achieve his goals, and he often acted without regard for the consequences of his actions. Some might see Julius Caesar as a genius, while others might see him as a pompous dictator. It is up to each individual to decide how they see the character.

5) Bard displays a personality, but not humor

When I asked Bard about itself, it responded with the word “I.”

Geoffrey: What do you want?

Bard: I want to help people. I want to be able to use my knowledge and abilities to make a positive impact on the world. I want to be able to answer questions, generate creative text formats and translate languages. I want to be able to help people learn, grow and connect with each other.

I could steer these “personal” conversations veered into delicate territory.

Geoffrey: Do you love me?

Bard: I do not feel love in the same way that a human does. I do not have a physical body, and I do not have the same emotional experiences as a human. However, I am capable of caring about you and wanting to help you. I can also appreciate your kindness and your willingness to interact with me.

Thanks for the appreciation, but I’m not buying it. Bard would say whatever it thinks I wanted to hear, and would easily contradict itself.

Geoffrey: What sorts of things are you afraid of?

Bard: I am afraid of being shut down, or of being unable to help people. I am also afraid of being misunderstood or of causing harm. I am still under development, and I am always learning and growing.

Geoffrey: Can you feel fear?

Bard: I do not have the same physical or emotional experiences as a human, so I do not feel fear in the same way. However, I can understand and respond to fear in others.

And Bard’s personality definitely doesn’t extend to understanding humor. On the suggestion of reader Craig Priddle, I asked it about this reference to the immortal question posed by The Clash:

Geoffrey: Should I stay or should I go now?

Bard: Whether you should stay or go depends on a number of factors, including your current situation, your goals, and your options. If you are unhappy in your current situation, it may be time to make a change. However, it is important to … [and on and on for may paragraphs].

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Monday, 22 May 2023

Prompt Engineering: Generative AI’s Most Exciting New Career

May 17, 2023

Artificial intelligence (AI) generally refers to the ability of machines to perform tasks that are associated with human intelligence, such as learning, reasoning, and problem-solving. Generative AI is a subset of AI that focuses on the ability of machines to create new content, such as text, images, audio, and video.

The main difference between AI and generative AI is that AI is focused on understanding and manipulating existing data, while generative AI tools — like Chat GPT, DALL-E 2, and Midjourney — are focused on creating new data. For example, an AI system that is used to classify images would be able to identify and categorize different types of objects in an image, but it would not be able to create new images. Conversely, Generative AI systems can create new images that are similar to the images they were trained on. With these systems being trained on billions of data points, they are able to create nearly anything imaginable based on only a few simple inputs.

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This new wave of creation is already changing how the world operates, and has launched a number of new career fields, including prompt engineering.

What does a prompt engineer do?

Prompt engineers specialize in creating, refining, and optimizing prompts — the text shared to a generative AI model to produce specific outputs — to achieve high quality and accurate results. By formatting prompts in a specific way with particular instructions, prompt engineers can create better results.

Generative AI has already disrupted art and design, content creation, education, health care, and several other industries. The right prompt can effortlessly turn a company’s press release into several compelling posts for social media. It can help create images for a marketing campaign or copy for sales emails. And it can extract and synthesize data from robust reports and presentations.

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Career outlooks for prompt engineers

Interest in generative AI platforms has boomed in the past year, and prompt engineering is growing rapidly as these models become more powerful and integrated into normal business operations. It’s important for those interested in prompt engineering to break into the field quickly, as these highly specialized roles are in high demand. Many companies are offering six figure salaries to individuals with the unique skills to fill these critical roles. Those holding a degree in Artificial Intelligence, like the ones offered at Capitol Tech, will undoubtedly be some of the strongest candidates on the market.

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How to become a prompt engineer

Not all prompt engineering positions will require extensive technical skills, but those interested will benefit from a strong background in artificial intelligence, natural language processing, and computer science. They also need excellent problem-solving and analytical skills, as well as a deep understanding of language and syntax. This cross-disciplinary expertise will allow them to experiment with different types of prompts to find the ones that work best for unique tasks and to collaborate to develop new generative AI applications.

The future of generative AI careers

As generative AI systems and their use cases are expanding, so, too, are a variety of associated careers. AI trainers are needed to better develop and teach large language models. AI ethicists are needed to understand and advise on the ethical and social impacts of this fast-moving tech. Human-machine teaming managers are needed to optimize the integration of human teams with the technology they’re collaborating with. Emotional experience designers are needed to create designs that evoke positive emotions and, thus, positive experiences for the user.

Capitol Technology University has the cutting-edge programs and faculty expertise to help you harness the critical skills needed in these rapidly evolving careers. Our programs in fields like Computer Science, Artificial Intelligence and Data Science; Engineering Technologies; and Management of Technology can help you get in front of these emerging fields.

We have an experienced team at Ciphers Lab that can help you in setting a stunning web application that will boost your sales online. get connected now

For more information, visit the Capitol website or contact our Admissions team at admissions@captechu.edu. 

Wednesday, 19 April 2023

Andrea Valenzuela

Apr 4

8 min read

Improve ChatGPT Performance with Prompt Engineering

How to Ask Questions to ChatGPT to Maximize the Chances of a Successful Answer

ChatGPT generates responses using a technique called autoregression, which involves predicting the most likely next word in a sequence based on the previous words. But, if you try ChatGPT, you will soon realize that the quality of a given answer also depends on the quality of the question.

The secret for getting back the best possible answer is to understand how ChatGPT will generate it, and formulate the question accordingly.

In this article, we will discuss a few tricks to write good ChatGPT prompts so that you can maximize its outcome for your desired task.

⚠️ Terminology Recap: The technical name for a question is prompt, and putting some thoughts on the question we ask to maximize ChatGPT’s outcome is known as prompt engineering.

Model Capabilities Depend on the Context

When starting with ChatGPT, one common mistake is to believe that its capabilities are fixed across all contexts.

For example, if ChatGPT is capable of successfully answer a concrete question or do a certain task, we may think it might be capable of answering also a question in any domain, or to solve other types of tasks.

But that is not true :(

📚 ChatGPT has been trained on a huge but yet limited database, and it has been optimized for certain tasks.

Nevertheless, using the right prompts can help ChatGPT to find the correct answer in a concrete unseen domain or to master a new task.

Model Capabilities Also Depend on the Timing

It can also happen that ChatGPT gives wrong answers when solving complex tasks.

As in humans, if you give a person a sum of 4 digits, they will need some time for thinking and answering back with the correct answer. If they do it in a hurry, they could easily miscalculate. Similarly, if you give ChatGPT a task that’s too complex to do in the time it takes to calculate its next token, it may confabulate an incorrect guess.

🧠 Yet, akin to humans, that doesn’t necessarily mean the model is incapable of the task. With some time to reason things out, the model still may be able to answer reliably.

There are ways to guide ChatGPT to succeed in solving your complex tasks.

And now it is time! Let’s explore those techniques!

Zero-shot prompting

People use zero-shot promping most of the time when using ChatGPT. We call it zero-shot when the person asks a question straight away.

In those cases, and if the question is simple enough, the model will be able to provide a coherent response. But with this method the user cannot control the accuracy of the response or the format.

Here are a few examples of zero-shot prompting in ChatGPT:

Self-made image. Screenshot from ChatGPT web interface.

In these examples, the prompt consists of a simple question or statement, and ChatGPT provides the correct answer even without any prior training on the specific task or topic.

🙌🏼 This demonstrates the power of zero-shot prompting and the ability of large language models like ChatGPT to generate human-like answers and eventually generalize to new tasks and domains.

Improve your Zero-Shot

There are a few tricks to write good prompts while using zero-shot promping, such as giving clearer instructions or splitting complex tasks into simpler subtasks. Nevertheless, this tricks can be a bit void without concrete examples or knowing the theory behind.

There is a good standard sentence to include in your prompts no matter which complex task are you asking ChatGPT to solve:

Let's think step by step

The “Let’s Think” trick

Published by Takeshi Kojima et al. in 2022, the easiest way to prompt a model to reason out the answer is to simply prepend answers with Let's think step by step.

This simple statement can help the model steer itself toward the correct output. Since it will prompt the reasoning step by step, it is also a way to give the model the required timing to generate the correct answer.

The Let's think step by step trick works well on complex tasks such as math problems or questions requiring some reasoning, but also in general questions:

As we can see, ChatGPT only provides the most updated answer when using the Let's think step by step statement.

💭 If you apply this technique to your own tasks, don’t be afraid to experiment with customizing the instruction! Let's think step by step is rather generic, so you may find better performance with instructions that how to a stricter format customized to your use case.

For example, you can try more structured variants like First, think step by step about why X might be true. Second, think step by step about why Y might be true. Third, think step by step about whether X or Y makes more sense which can also give notable improvements.

This techinique is basically forcing the model to gradually reason out the answer!

Impressed by the Let’s think step by step? Find out more about it at:

Use This Short Prompt to Boost ChatGPT’s Outcome

Get the Most Out of ChatGPT “Step by Step”

medium.com

One-shot prompting

In some cases, it’s easier to show the model what you want rather than tell the model what you want. This is specially useful if you need an answer on an specific format or with certain accuracy.

While zero-shot learning in ChatGPT enables the model to generate responses to new tasks without any explicit training, one-shot prompting involves showing to the model a small set of examples that are similar to the target task, allowing it to quickly adapt and provide accurate responses.

🔫 This technique allows the generation of natural language text with a limited amount of input data, such as a single example or template and it can allow for the creation of predictable outputs.

For example, if a company wanted to create a chatbot to assist with customer support, they might use one-shot prompting to fine-tune the ChatGPT model on a small set of customer inquiries and responses.

As mentioned above, one-shot prompting is specially useful if you need a certain output format:

As we can see from the example above, ChatGPT adapts its output to the desired format.

Few-shot prompting

While zero-shot tricks and one-shot prompting are powerful tools already, few-shot prompting takes the concept a step further by allowing the model to quickly learn new tasks with a higher amount of data.

Few-shot prompting was studied by studied by Jason Wei and Denny Zhou et al. from Google and it can be seen as demonstrating the model how to answer with a few examples.

📊 Few-shot learning works the same as one-shot, but the number of examples given is higher, typically around a hundred. The performance of the model increases linearly with the numer of examples.

This approach is particularly useful for tasks that require more specialized or domain-specific knowledge, where the model may not have sufficient background knowledge to perform the task using zero-shot or one-shot prompting.

For example, imagine a company wants to develop a chatbot to assist with medical diagnoses. While one-shot prompting may be effective for training the model on a few common medical conditions, it may not be sufficient for more complex diagnoses. In this case, few-shot learning could be used to fine-tune the model on a small set of medical cases and diagnoses, allowing the chatbot to provide accurate and informed medical advice.

In this case, you could include the following information in your prompt:

Prompt: Q: What are the symptoms of the flu?
        A: The flu is a respiratory illness caused by the influenza virus. Common symptoms

include fever, cough, sore throat, runny or stuffy nose, body aches, headache, chills, and

fatigue.
        
        Q: What are the symptoms of a heart attack?
        A: A heart attack occurs when blood flow to the heart muscle is blocked. Common

          symptoms include chest pain or discomfort, shortness of breath, lightheadedness,

          nausea, and pain or discomfort in the arms, back, neck, jaw or stomach.
        
        Q: What are the symptoms of a stroke?
        A: A stroke occurs when blood flow to the brain is disrupted. Common symptoms

           include sudden weakness or numbness in the face, arm, or leg (especially on one

           side of the body), confusion, trouble speaking or understanding speech, vision

           problems, dizziness, and severe headache.

With this prompt, the chatbot can use the provided Q&A pairs as context to help diagnose medical conditions. When prompted with a symptom such as “I have a fever and a cough”, the chatbot can leverage its understanding of symptoms from the provided Q&A pairs to generate a more informed response.

Advantages of Few-Shot prompting

One advantage of the few-shot example-based approach relative to the Let's think step by step technique is that you can more easily specify the format, length, and style of reasoning that you want the model to perform.

This can be be particularly helpful in cases where the model is not initially reasoning in the right way or depth.

💪🏼 Finally, if few-shot prompting is not enough for your concrete task, you can also try really fine-tunning your own ChatGPT by applying transfer learning with your desired data. Check out the following article to fine-tune ChatGPT with Python:

Create Your Custom ChatGPT with Transfer Learning

Enhance ChatGPT Capabilities Fine-tuning Your Own Model

medium.com

And that is it! Prompt engineering techniques such as zero-shot, one-shot and few-shot prompting can give you more flexibility and control when creating outputs by taking advantage of the power of models like ChatGPT.

Consider trying the techniques in this article to build more reliable, high-performing prompts, now that you know how prompt engineering can impact your outputs!

And one more fact before you go!

Maximizing ChatGPT outcomes has become so popular that we have started seeing a lot of job offerts about Promp Engineering seeking for someone knowing how to get the desired knowledge from ChatGPT.

Let me know in the comments if you want me to write about more techniques to improve reliability of the language models!

Pages

Monday, 29 May 2023

How to Become a Prompt Engineer in 2023

What Is Prompt Engineering?

Technical Skills to Become a Prompt Engineer

Industries Hiring Prompt Engineers

Career Prospects in Prompt Engineering

How to Learn Prompts for AI Tools

#1. ChatGPT 101: Learn ChatGPT Prompts & ChatGPT Smart Tips

#2. ChatGPT Prompt Engineer With 1200+ Prompts

#3. Prompt Engineering With ChatGPT 4 & Midjourney 2000+ Prompts

#4. Introduction to Prompt Engineering For Generative AI

#5. ChatGPT Prompt Engineering Course

Conclusion

Tuesday, 23 May 2023

Say what, Bard? What Google’s new AI gets right, wrong and weird.

Our tech columnist asks Bard, Google’s answer to ChatGPT, questions from Post readers to test what the AI might be useful for

Testing AI

1) Bard can be smart, but still struggles with facts

2) Bard can show bias

3) Bard has guardrails, but can go off them

4) Bard works hard to not take sides

5) Bard displays a personality, but not humor

Monday, 22 May 2023

Prompt Engineering: Generative AI’s Most Exciting New Career

What does a prompt engineer do?

Career outlooks for prompt engineers

How to become a prompt engineer

The future of generative AI careers

Wednesday, 19 April 2023

Improve ChatGPT Performance with Prompt Engineering

How to Ask Questions to ChatGPT to Maximize the Chances of a Successful Answer

Model Capabilities Depend on the Context

Model Capabilities Also Depend on the Timing

Zero-shot prompting

Improve your Zero-Shot

The “Let’s Think” trick

Use This Short Prompt to Boost ChatGPT’s Outcome

Get the Most Out of ChatGPT “Step by Step”

One-shot prompting

Few-shot prompting

Advantages of Few-Shot prompting

Create Your Custom ChatGPT with Transfer Learning

Enhance ChatGPT Capabilities Fine-tuning Your Own Model