Drumroll, please! The future of Generative Artificial Intelligence has finally arrived with a big bang!
When OpenAI launched ChatGPT in November 2022, it created a flurry of headlines that left copywriters, screenwriters, creative directors, and many more professionals anxious. They had every reason to because ChatGPT had garnered over a million users within five days of its launch. The highly advanced AI tool that creates content based on the user’s prompt has propelled AI to unimaginable levels of technology.
However, the story doesn’t end here. OpenAI’s latest venture has taken things to a whole new level.
On March 14th, 2023, OpenAI launched GPT-4– a newer, more advanced version of its AI technology. According to OpenAI, GPT-4 is “more creative and collaborative than ever before.” Within hours of its launch, people worldwide used the tool in many ways.
The company considers this new version a significant milestone in AI’s evolution and claims it can solve “difficult problems with greater accuracy.” GPT-4 is touted to have the potential to simplify:
- The way we learn new languages
- Processing images as well as texts
- Building chatbots and virtual assistants that are more factual, contextual, and creative.
In fact, the day is pretty close when it can even simplify the way we prepare our tax statements.
Gartner, the research and consulting services provider, predicts that by 2025 the following will happen with Generative AI:
- At least 10% of all data created will be produced by Generative AI.
- Out of this, 20% of the test data will be utilized for consumer-facing use cases.
- 50% of pharmaceutical research and development initiatives will be devoted to AI.
- 30% of manufacturers will harness AI to improve their ability to develop products.
Our blog gives you a glimpse into how Generative Ai will change the face of creative processes across applications. But, first things first:
What is Generative Artificial Intelligence?
Generative AI is a powerful AI system capable of creating content or data in response to input parameters or prompts.
Traditional AI is powerful. It is designed to recognize patterns and make predictions. Generative AI is several steps ahead of conventional AI. This type of AI does not merely copy and create something from pre-existing data. It creates something completely new based on knowledge derived from trained datasets.
Generative AI is made possible with advanced techniques such as Deep Learning, where AI models are trained on large datasets. This enables them to generate across a range of modalities. So, essentially, Generative AI requires these large datasets to gain knowledge, but the output is totally unique and new.
Generative AI uses algorithms trained on data that include:
- Texts
- Videos
- Audio
- Images
- Computer Codes
Generative AI has the potential to accelerate AI adoption and create realistic and unique outcomes, and refine processes like email writing and coding.
This field of AI has permeated every aspect of living- well, almost. An article on the Time of India was published just a day after GPT-4 was launched (March 15th, 2023). The report elaborates on how Generative AI makes itself indispensable in gaming, entertainment, life sciences, and BFSI. Beyond all these verticals, Generative AI is playing a significant role in healthcare, where it is being used for:
- Developing personalized medication
- Developing new drugs from gene patterns
- Predicting disease outbreak
- Diagnosing complex medical disorders
In Banking, Financial Services, and Insurance (BFSI), Generative AI helps in:
- Fraud detection
- Customer service automation
- Financial plan development
- Insurance plan customization
In gaming and entertainment, the potential of Generative AI is utilized in full swing to create:
- Create realistic and immersive virtual environments
- Score original music and sound effects
- Enhance game mechanics and nuances
Generative AI is the latest buzz in Hollywood. Apart from being used in every aspect of movie-making, it is used in the most unexpected ways.
Fun Fact: Veteran actor Bruce Willis has sold his “digital twin” to studios to generate movies without his physical presence.
Thus, the field is so prolific that the possibilities are limited only by imagination when it comes to creative processes. Let’s unravel the details.
Generative AI: Its Scope & Potential in 8 Creative Processes
Traditionalists may argue that creativity by hand is the most valuable. The traditional process of creating something with your hands has more meaning. However, time and manual effort can make it a frustrating process, mainly if the results are not upto our expectations.
As mentioned earlier, Generative AI uses training datasets to derive knowledge and creates innovative and unique outcomes based on the same. This is one of the main reasons why Generative AI is booming worldwide.
Here’s where Generative AI can make a big difference in overcoming some of the limitations in the following creative processes:
1. Search & Learning
Generative AI is slowly but steadily revolutionizing learning processes that involve in-depth research. In computer programming, generative AI is used to find accurate answers without using Google Search. Here’s a list of tasks that Generative AI helps us do in a jiffy:
- Automation of tasks
- Code debugging
- Creation of new algorithms
- Summarization of books, novels, and articles
- Conception of stories, art, and music
Generative AI can also evaluate trends and patterns to improve decision-making processes.
2. Content Creation
Generative AI is already the top contender for content creation. Generative AI is effectively changing customer conversion strategies from generating emails, press releases, and social media posts to personalizing marketing campaigns. Its ability to read consumer trends and patterns enables this technology to create content that perfectly targets the right audience.
3. Content Quality
Generative AI has upgraded content quality by multiple notches. As a machine-generated capability, it has its own limitations. However, that does not hinder its ability to identify bias and subjectivity in human decision-making processes. With Generative AI, companies can rely on AI-driven algorithms to communicate consistently with their audiences.
4. Predictive Analytics
Whether creating customized campaigns or sprucing up their market efforts, marketers can leverage Generative AI to study customer behavior and predict future trends. AI-driven marketing campaigns will be more scalable, flexible, and successful.
5. Design Processes
Generative AI allows marketers to create consistent and impactful advertising materials by streamlining design processes for landing pages and ads. This has indeed come as a blessing for marketers. It will enable them to focus on the effectiveness of their campaigns instead of wasting too much time on the design and layout.
6. Content Generation
Content generation automation to generate fresh and relevant content is now easier, thanks to AI. Publishing platforms like WordPress rely on powerful AI-based tools like Unbounce’s A/B testing tool. Such tools enable them to test multiple versions of landing pages and websites before deciding on the best one.
7. Democratize Content
Generative AI has the potential to broaden the accessibility to creative processes. Even the most non-tech-savvy person can create high-quality content. Because AI uses existing data, artists and musicians can use generative algorithms to create outputs with simple prompts.
8. Content Variety
The demand for variety in content is high among users. AI and ML algorithms help identify content-related patterns to generate high-quality content across diverse topics.
Beyond the realm of creative processes, Generative AI is well-suited for tasks like text analysis and speech synthesis. In text analysis, it can identify text patterns to generate new texts. In speech synthesis, it can help develop new natural sounds and accents.
Let’s explore the various other applications of generative AI.
Also Read: Putting Humans First: Best Practices for Responsible AI
6 Applications of Generative AI
1. Art
With simple text inputs, Generative AI can create mind-blowing works of art that resemble real art. Some of the most advanced Generative AI programs used for art or image generation are:
- Stable Diffusion
- Novel AI
- Dall-E
- Midjourney
2. Content writing
Generative AI is changing the landscape of content writing. World over, this technology is churning out volumes of blogs, emails, website content, essays, and even ebooks within minutes and hours.
3. 3D Shape Generation
Although it is still nascent, 3D shape generation is very much a possibility with Generative AI. GAN-based shape generation can produce better forms that closely resemble the source.
4. Computer Programming
Did you know that Generative AI can write computer codes within minutes? Generative AI can process and deliver the most complex codes within hours, which would otherwise take weeks or months to complete.
5. Video Generation
Generative AI can churn out a fantastic video based on existing video footage or knowledge derived from previous videos. Using the technology, you can create short videos, movies, advertisements, and TV sitcoms with realistic-looking virtual actors.
6. Text-to-creation and Text-to-Speech
Based on prompts, text-to-creation generates creative results like art, music, movies, etc. The umbrella term encompasses image generation, video creation, audio creation, storytelling, and 3D object generation.
Similarly, with text-to-speech, deep learning techniques, you can create synthetic voices that sound just like actual speech. For example, Typecast is a tool that uses real speech samples to produce AI-generated voices. The voices can even be made sound emotional, natural, and engaging.
Generative AI: What Does The Future Hold?
One thing is for sure with Generative AI: It is an unstoppable force with the potential to become bigger, better, and more powerful. It will revolutionize everything from simple aspects to complicated avenues like natural language processing, computer vision, drug discovery, language translation, and, eventually, humanoids.
In short, Generative AI will be omnipotent, omnipresent, and omniscient.
Want to be part of the unfolding AI-revolution? Talk to the experts at Opporture for cutting-edge AI-driven solutions for your business.
Glossary Terms:-
Computer Vision
GANs
Machine Learning
Natural Language Processing
Training Data
Model
