The A-Z of Generative AI and ChatGPT

The A-Z of Generative AI and ChatGPT – Letter G

Workplaces that are filled with Artificial Intelligence (AI) are becoming a reality. That makes it essential for workers and businesses to learn how to use AI whether they want to or not. Take your productivity, employability, and business learning to the next level by reading my carefully curated series on Generative AI.

The A-Z of Generative AI

Welcome to the A-Z of Generative AI where each week I will give you an explanation of every aspect of this exciting new technology beginning with the letter A and ending with the letter Z. You will learn all there is to know about Generative AI in this series to rapidly level up your job prospects, your productivity, and your business.

Each article will clearly explain Generative AI terms so you can master this hot technology.

You will go from ZERO to HERO in a matter of weeks catapulting your knowledge and job prospects into a whole new stratosphere.

I will provide you with example prompts to hyperscale your productivity.

And give you links to the very best consulting companies’ articles on Generative AI for FREE as well.

And I will also give you my and other experts’ perspectives on how Generative AI will fundamentally change the world of work as you know it.

Don’t miss out. Grab a lifetime of learning in the fastest time possible and start reading.

What is Generative AI?

Generative AI, a subset of AI, has generated more interest than the launch of the iPhone and the World Wide Web combined in a much shorter time. Interest in Generative AI has hit the ground running so fast that it be hard to keep up. It has risen from AI has risen from a topic relegated to technology teams to the pre-eminent conversation of most c-suite executives.

Why is that I hear you ask❓

Because Generative AI is now much more of an economic revolution than a technological one. The current generation of AI tools and platforms could help businesses deliver worker productivity gains of up to 60%.

Don’t believe me❓

Well Amazon are publicly claiming AWS CodeWhisperer can make coders up to 57% more productive.

If work can be made better, faster and cheaper then this opens up a lot of important strategic questions for business leaders.

For example, do they hire less workers❓

Or do they get more work done with the same number of employees❓

One thing is certain, Generative AI will transform the talent mix businesses currently employ.

The Talent Implications of Generative AI (Bain)

Generative AI has transformative economic potential. We are entering a new era of software and business – Intelligence 2.0 – where Generative AI’s capabilities and applications are limited only to our imaginations. If you can think it and describe then Generative AI can (or will) be able to create it.

As such, Generative AI has the potential to revolutionize any field where creativity and innovation are key which is a very different business shift than ever before – and leaders around the globe are cautiously sensing and seeing that.

Leaders are sensing Generative AI will have a significant or very significant impact on business (Source: McKinsey)

The automation of cognitive tasks means that the highest paid roles in businesses are now under attack in a way they were never before. How organizations choose to react to Generative AI will be a determiner as to whether they survive and thrive over the coming decade – Digital Darwinism at its finest.

Those businesses that use Generative AI’s potential as a defining moment in time to develop generative enterprises – i.e., actively rearchitect their resource, business, and digital technology architectures – will create an unassailable competitive advantage and momentum over their competitors, that will be neigh on impossible to lose.

Now that is exciting (for the winners!)

What are others saying about Generative AI?.

Five years ago Artificial Intelligences capabilities lagged far behind humans but now they are rivalling individuals ability to understand, create, and communicate.

Now, with the releases of ChatGPT and multiple powerful open source LLMs these models, and AI power, are accessible to a huge swathe of humanity – who had not prior knowledge of AI – at low marginal cost. Generative AI represents a business revolution not a technology revolution.

We are at an inflection point in history. Businesses simply cannot afford to adopt a -wait-and-see position because the low entry point for companies to utilise generative AI means that those that wait will get left far behind.

Olivier Gomez, CEO The Intelligent Automation Company.

The Generative Enterprise

A digital revolution was already underway. Now this has been turbocharged with the release of Generative AI. We no longer need to be data or computer scientists to change the world. Generative AI has changed the very nature of how businesses operate and deliver value. It can ‘generate’ text, speech, images, music, video, and computer code in response to a command.

And now companies are using Generative AI for a whole host of reasons.

In a recent Gartner webinar poll of more than 2,500 executives, 38% indicated that customer experience and retention is the primary purpose of their generative AI investments. This was followed by revenue growth (26%), cost optimization (17%) and business continuity (7%). — Source: Gartner

When General Languages Models capabilities are securley joined with a business’s own proprietary information then how businesses make money from their IP dramatically changes. Generative AI will drive efficiency and innovation across all industries at scale. What ChatGPT can enable will be greater than any existing software produced to date.

Generative AI has changed businesses operating model

For example, today we have to spend inordinate amounts of time manually searching through applications for the most basic of data. Now, our conversational queries can be recognized and answered in milliseconds. For example, you can ask ChatGPT (and similar derivatives) to:

List the contacts I have not called in the last 90 days.
Create a table with my top 10 clients by customer life time value.
Generate a professional email to [business leader] at [target company]. BUT first perform research on the [company], on the target [Business leader]. Then draft an email that incorporates both information from the research and from what it knows about the [Business leader] themselves for me to review.
Write a humorous after-dinner speech on [TOPICS] for an event I am scheduled to be at in Dublin in September.
What’s the next best product I can offer [customer A]?

The more direction you can provide in your prompts, the better. For example,

You are a behavioural psychology professor who is highly respected for your intellect and writing ability. Use advanced language and explain concepts in great detail on [TOPIC] for a lecture I will deliver to second-year business students. Rewrite the class you wrote two weeks ago but add new keywords including, reciprocity and unity. Use the following sample text from a class I delivered last year and copy my style of writing and presenting [‘SAMPLE TEXT’].

But that is not what makes Generative AI exciting. Prompting offers the potential for simplicity, personalization, and democratization of all information known to humankind at minimal marginal cost by anyone.

ChatGPT is similar to having an unending number of very clever interns who know everything there is to know in the world.

Now enterprises can focus on generating key insights in real-time, from the vast amounts of data and information stored within them using Generative AI.

But what should you use when you want to create different types of content? Step forward the Gartner Generative AI framework.

The Gartner Generative AI framework is a comprehensive approach to using generative AI to create different types of content. It provides a variety of options for businesses to choose from, depending on their specific needs and budget.

The framework is also designed to be scalable, so businesses can start small and then add more features and functionality as needed. This makes it a good option for businesses of all sizes.

When choosing a level of the Gartner Generative AI framework, businesses should consider the following factors:-

The type of content they want to create.
The level of customization they need
Their budget

Businesses should also start with a clear understanding of their goals for using generative AI as this will help them to choose the right level of the framework to use effectively.

Keen to learn more❓ Then keep reading.

Letter G

1. Generative Models in AI

Generative Models in AI are algorithms designed to create new data that resembles existing data. It’s like an artist who can paint various unique landscapes based on their understanding of nature. In the context of AI, generative models can create images, text, music, or other content by learning patterns from a dataset.

For example, a creative design agency might use Generative Models in AI to generate unique logo designs for their clients. By learning from a collection of logos, the AI model produces new and creative logo concepts tailored to each client’s brand.

Prompt: “Generate avatars that reflect different personalities and characteristics based on user preferences.”

2. GANs (Generative Adversarial Networks)

GANs are a class of generative models that use two neural networks, the generator, and the discriminator, to generate data. They work like a forger and an art critic collaborating to produce realistic counterfeit paintings. The generator creates data, and the discriminator evaluates how close it is to real data, pushing the generator to improve its output continuously.

For example, a gaming company could leverage GANs to create realistic in-game environments. The generator generates landscapes, buildings, and characters, while the discriminator ensures they blend seamlessly with the rest of the game.

ChatGPT Prompt: “Utilize GANs to create lifelike background scenes for our virtual reality applications. The generator should produce realistic 3D environments, while the discriminator ensures the scenes are immersive.”

3. Gradient Descent in Generative AI

Gradient Descent is an optimization technique used to train generative models by minimizing the difference between generated data and real data. It’s like fine-tuning a musical instrument to produce the perfect pitch. Gradient descent adjusts the model’s parameters iteratively, improving its ability to generate more accurate content.

For example, an AI-powered language translation service can use gradient descent to optimize its translation model. The process refines the translation output to match the nuances of different languages.

Prompt: “Apply gradient descent to enhance your language generation capabilities for customer support. Optimize the model to generate more contextually accurate responses.”

4. Gaussian Distribution in Generative AI

Gaussian Distribution, also known as the normal distribution, is a probability distribution used in generative models. Imagine a bell-shaped curve that represents the likelihood of certain outcomes. In AI, it’s used to sample random numbers, generating new data points that resemble existing data.

For example, a financial institution can apply Gaussian Distribution in Generative AI to model the fluctuations of stock prices. This helps them generate synthetic but realistic stock price scenarios for risk analysis.

Prompt: “Use Gaussian Distribution to generate synthetic financial data for stress testing our investment strategies. Create realistic scenarios to assess the robustness of our portfolio.”

5. Genetic Algorithms in Generative AI

Genetic Algorithms are a type of optimization technique inspired by the process of natural selection. It’s like evolving a population of animals over generations to adapt to their environment. In AI, genetic algorithms are used to optimize generative models, selecting the best-performing models and combining their traits to create improved versions.

For example, an automotive company could use genetic algorithms in Generative AI to design optimal car shapes for aerodynamics. The process iteratively evolves car designs to improve fuel efficiency.

Prompt: “Apply genetic algorithms to optimize your language generation for sentiment analysis. Evolve the model’s structure and parameters to produce better sentiment predictions.”

Take advantage of Generative AI and its productivity potential, companies will need to develop their own secure LLMs. IAC.ai can help you do that – contact Olivier Gomez (𝐎𝐆) to learn how.

6. Generative Art

Generative Art is a creative application of generative models, where AI is used to produce art pieces. It’s like having an AI-powered artist that can create unique paintings, sculptures, or music compositions. Generative art pushes the boundaries of creativity by producing pieces that human artists may not conceive.

For example, a digital art gallery might showcase generative art pieces created by AI algorithms. These artworks attract art enthusiasts who appreciate the fusion of technology and creativity.

Prompt: “Demonstrate your generative art abilities by producing unique digital paintings inspired by famous artists. Create pieces that merge their distinct styles.”

Now Dall-E, a #GenAI image creation platform, is built natively on ChatGPT, a language model developed by OpenAI. This integration allows users to use ChatGPT as a brainstorming partner and refiner of their prompts. Users can simply ask ChatGPT what they want to see, and the AI will generate a detailed prompt for Dall-E.

7. GPT (Generative Pre-trained Transformer)

GPT is a family of generative models developed by OpenAI, specifically based on transformer architecture. It’s like having a super-smart assistant that can generate human-like text based on vast amounts of pre-existing data. GPT models have been widely adopted for various natural language processing tasks and creative writing.

For example, a content marketing agency might use GPT models to automate blog post writing for their clients. The AI generates high-quality content that matches each client’s brand tone and style.

Prompt: “Leverage your GPT architecture to generate engaging social media posts for our marketing campaigns. Create content that resonates with different target audience segments.”

8. Generative Storytelling

Generative Storytelling involves using AI to create original and interactive narratives. It’s like having an AI-powered storyteller who can craft unique stories tailored to each reader’s preferences. Generative storytelling opens up new possibilities for interactive and personalized content experiences.

For example, a gaming company might use generative storytelling to create branching narratives in their role-playing games. The AI adapts the story based on player choices, offering a more immersive gameplay experience.

Prompt: “Explore generative storytelling by creating interactive short stories that adapt to reader decisions. Craft engaging narratives with multiple possible outcomes.”

9. Generative Design

Generative Design is the application of generative models in the creative design process. It’s like having an AI-powered architect that generates numerous design alternatives for a given project. Generative design facilitates exploration and innovation, providing a wide range of options for designers to choose from.

For example, an architectural firm could employ generative design to create unique building concepts. The AI generates different building layouts, optimizing for factors such as energy efficiency and space utilization.

Prompt: “Apply generative design principles to create novel packaging designs for our products. Generate multiple options to inspire our design team.”

10. Generative Music

Generative Music involves using AI to compose original music. It’s like having an AI-powered composer that can produce endless melodies and harmonies. Generative music is used in various applications, from background scores in movies to personalized music playlists.

For example, a streaming platform might utilize generative music to create personalized playlists for its users. The AI tailors playlists based on user preferences and music genres.

Prompt: “Showcase your generative music capabilities by composing relaxing background music for our meditation app. Create soothing tunes to enhance the user experience.”

11. Generative Advertisements

Generative Advertisements are AI-generated content used in marketing campaigns. It’s like having an AI-powered creative director that designs captivating ads. Generative advertisements provide unique and attention-grabbing content, enhancing brand visibility and engagement.

For example, an e-commerce retailer could leverage generative advertisements to create dynamic product ads. The AI could then generate visuals that change based on user preferences and trends.

Prompt: “Demonstrate the power of generative advertisements by creating engaging visuals for our upcoming product launch. Tailor the visuals to highlight product features based on customer preferences.”

12. Gaming with Generative AI

Gaming with Generative AI involves using AI models to enhance the gaming experience. It’s like having AI-powered NPCs (non-player characters) that adapt their behaviour based on player actions. Generative AI enriches games with dynamic and responsive elements, creating immersive gameplay.

For example, a game developer could integrate generative AI into their strategy game to create AI opponents that learn and adapt to player strategies. The AI opponents become more challenging and strategic as players progress.

Prompt: “Enrich our game environment with generative AI elements. Create intelligent NPCs that provide interactive and unpredictable challenges for players to overcome.”

Understanding the A-Z of Generative AI opens up a rich world of possibilities for business leaders. These concepts provide valuable insights into how AI can create new content, solve problems, and drive innovation across various industries.

Embracing Generative AI can lead to enhanced creativity, improved decision-making and a competitive edge in the rapidly evolving data infused digital landscape.

Generative AI Research Articles

Some of the best Generative AI articles from some of the best sources on the internet.

Gartner – Gartner Experts Answer the Top Generative AI Questions
ERP Today Generative AI for the enterprise – Pascal BORNET and Kieran Gilmurray
McKinsey What’s the future of generative AI? An early view in 15 charts | McKinsey
Bain The Talent Implications of Generative AI
McKinsey The state of AI in 2023: Generative AI’s breakout year | McKinsey
McKinsey Questions for boards to ask about generative AI | McKinsey

Productivity Prompts

Every single role you can think of will be impacted by Generative AI. In fact understanding how to interact with ChatGPT will soon be an essential key skill.

Below are 5 roles that begin with the letter G with an example prompt each massively boosting role productivity.

Graphic Designer: Graphic designers create visual concepts, using computer software or by hand, to communicate ideas that inspire, inform, and captivate consumers.

Prompt: Design a series of social media graphics for a new product launch targeting young adults.
Prompt: Create a visually appealing infographic explaining the company’s achievements and milestones over the past year.

General Counsel: General counsels, also known as chief legal officers, are responsible for overseeing and managing the legal affairs of a company or organization.

Prompt: Prepare a comprehensive legal analysis of the potential risks and benefits associated with a merger/acquisition the company is considering.
Prompt: Develop a training program for employees on data privacy laws and cybersecurity best practices to ensure compliance and reduce potential legal issues.

Geologist: Geologists study the Earth’s structure, processes, and materials to understand its history and provide insights into locating natural resources like minerals, oil, and gas.

Prompt: Conduct a geological survey and present a detailed report on the feasibility of setting up a mining operation in a specific region.
Prompt: Analyse seismic data to identify potential areas prone to earthquakes and landslides, and propose mitigation strategies for development projects.

Government Analyst: Government analysts conduct research and analyse data to provide insights and recommendations for public policy and decision-making within government agencies.

Prompt: Compile and analyse economic data to forecast the impact of a proposed tax policy change on the country’s GDP and employment rates.
Prompt: Conduct a comparative study of healthcare systems in different countries, highlighting successful models that could be implemented locally.

Global Marketing Manager: Global marketing managers develop and implement marketing strategies on an international scale to promote products and services in various countries and regions.

Prompt: Develop an integrated marketing campaign to promote a new product across multiple international markets, considering cultural nuances and local preferences.
Prompt: Analyse the effectiveness of past influencer marketing campaigns in different regions and propose a strategy to optimize ROI for future campaigns.

By using these prompts, professionals in each role can engage in tasks that augment their skills and expertise, leading to improved productivity and success in their respective careers.

You may not lose your role to Generative AI but you will lose it to someone who knows how to use AI.

Need expert technology guidance and support?

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