Generative AI Applications: Everything You Need to Know to Get Started

Apoorv Gehlot
17 min readSep 15, 2023

ChatGPT is all over the place. Midjourney is making designers and artists go gaga. This sudden reliance on such applications to ease daily tasks can confuse you. Indeed, like every other enterprise, you must be in awe of artificial intelligence. However, its rapid transitioning can be daunting. One such subset of this technology is generative AI, the marvel behind platforms like Chatgpt and Midjourney. But what if we tell you that you can make a fortune from generative AI applications? No, you don’t need to burn a hole in your pocket. All you need is cost-effective, generative AI development services that swear by customization.

Now, this idea might pop up another question in your head: What are generative AI applications? How do they work? How can you make a business out of it? Well, many companies are making millions out of such applications. They are automating tasks that every individual interacting with the internet performs almost daily. Yes, you’re guessing it right. It’s letting people write essays and emails, generate images, write codes, etc. You can jump on the bandwagon by exploring the most sought-after applications of generative AI. This will enable you to understand what fits perfectly in your business suite and what your users actually expect from you. So, without any further ado, let’s dive in!

  • Generative AI applications are expanding rapidly in various fields and industries.
  • They run through smart algorithms and models trained to make repetitive and routine tasks automated.
  • From text generation to drug improvement, generative AI has multiple benefits
  • With its extensive use case possibilities, generative AI is making operations of several industries smarter and faster.
  • Having an experienced team of next-gen technology developers and testers is essential to leverage the potential of generative AI applications.

How Does Generative AI Applications Work?

Generative AI is all about using smart algorithms to create new stuff. It’s like having a creative machine brain. This works in multiple ways, like using models named BERT, Transformer, or Autoregressive. But the big stars are generative adversarial networks (GANs) and variational autoencoders (VAEs). Every good AI development company has a hold of either one or both of these. So, let’s break it down, sticking to an example of image generation.

Let’s first talk about GANs. They have two vital elements: a generator and a discriminator. The generator learns from pictures and tries to make new ones that look like the training pics. The discriminator is the expert in telling real images from the fake ones the generator whips up. These two train together in a cool way called adversarial training. It’s like a game where the generator gets better at making pictures that fool the discriminator. Over time, it improves the performance of generative AI applications by generating images that look super real.

VAEs, on the other hand, are a bit different. They learn by mapping pictures from a big space to a smaller, hidden space and then back again. While they’re being trained, they pick up on all the details and stuff in pictures to figure out how common they are. When VAEs have learned a lot, they can make new pictures that match what they’ve learned.

Both GANs and VAEs are super important for making AI images. They’re like the key ingredients for generating visuals automatically. And let us tell you, what they create is really cool! They can make pictures that look real, fix up blurry ones, and even make images from just what you speak. Take a look at the table below to see which AI models are popular for other cool AI creations.

Now that we’ve got the hang of how this AI magic works let’s dive into how people use it in the real world.

Read More: Generative AI for Business: Explore Use Cases, Industries, And Strategies

Top 10 Generative AI Applications to Choose From

First things first, the use cases of generative AI can be of various categories. There is video generation, text generation, audio generation, and many more. According to your business needs, you can create a platform or integrate such capability into your existing platform. To make this big decision, you can even seek technology consulting services. This move will help you gain personalized tech guidance for your enterprise. On that note, let’s explore generative AI applications of different categories.

Visual Content Generation

The most trendy application of generative AI seen recently is all about images and videos. New-age artists, brands, students, and everyone is using platforms like Midjourney to generate graphics they can readily use. If we segregate a few of such use cases, they can be:

Image Generation

So, you know those cool AI tools like Midjourney that generate images? Well, most of the time, they work like magic with text. You just type in what you’re thinking, and these tools bring it to life in pictures. Now, this is achieved through GANs. You can get super specific, like describing the scene, style, or whatever you’re picturing, and the AI does the rest to make it look real and amazing.

But wait, there’s more! Beyond the text-to-image trick, there are other AI helpers that enhance existing pictures. They’re like the artists of enhancement, and they can do a bunch of things like:

Image Enhancement

With this application of generative AI, you’ll need experts with variational autoencoders (VAEs). This model helps with image compression, denoising, and generating new images from the learned latent space.

Semantic Image-to-Photo Translation

Ever turned a doodle into a real picture? That’s semantic image-to-photo translation. It’s like waving a wand and making a lifelike photo from a simple sketch or description.

Improving Image Resolution

We all want that tool that magically makes a blurred picture clear. Image super-resolution does just that. It’s like adding extra pixels to make an image sharper and more detailed, even if it was taken with a regular camera or CCTV.

Video Generation

Generative AI applications related to video can take care of the boring stuff like putting videos together, adding cool effects, and even making animations. Just like with images, AI tools can start from scratch to create videos; plus, they’re great at changing videos around, making them sharper, and finishing up the missing parts. They can also tackle these jobs:

Video Prediction and Synthesis

Did you know that AI can peak into the future? Well, not literally, but it can predict and make new frames that fit perfectly with what’s happening. It can help users keep the video flow smooth and make transitions look seamless. This comes in handy for things like shrinking videos for storage or making realistic virtual worlds.

Video-to-Video Translation

This generative AI application involves transforming videos from one format to another while preserving the content. For instance, AI can convert a daytime video into a nighttime version or change the weather conditions. These models are often used for video style transfer and video enhancement.

Video Animation and Deepfake Generation

Generative AI can help users create animations or deepfake videos by altering the content of existing videos. Deepfake videos use AI to swap faces, manipulate speech, and create highly realistic fake videos. This popular application has both creative and controversial applications. If you use it ethically, you stand a chance to actually make your platform go “viral.”

Audio Content Generation

Do you own a business that is all about audio or music? Do you want to go beyond autotune? Whether you’re into dubbing, music composing, or want to create virtual assistance, generative AI can be your saviour.

Music Generation

Generative AI applications are beneficial in producing new music pieces. The tools can generate new music by learning the patterns and styles of input music and creating fresh compositions for advertisements or other purposes in the creative field. Copyright infringement, however, remains an obstacle when copyrighted artwork is included in training data.

Text-to-speech (TTS)

Have you heard AI talk? Text-to-speech (TTS) AI is like giving words a voice. It takes what you type and makes it sound real. It’s like AI actors who can change their tone or style to match the scene. They learn from lots of talk and text to get really good at sounding human. These voice skills are super useful for gadgets, talking computers, and helping people with special needs.

Translations or Speech-to-Speech

In the world of sound, AI isn’t just about talking; it can also make sounds and voices. With speech-to-speech (STS) conversion, AI can create new voices from existing sounds. This is one of the generative AI applications that you can consider a voice-changing superpower. It’s perfect for gaming and movie professionals who need quick voiceovers.

Text Generation

Conversational AI, like ChatGPT, has gained immense popularity. It’s great at creating write-ups, conversations, summaries, translations, and more. These systems learn from big datasets to make content authentic. Using NLP and NLU, they understand prompts and give smart responses. Some generative AI applications in reference to text creation are as follows:

Blog/Essay Generation

Generative AI applications for text generation can produce original content for users. Be it their school essay or professional email, such platforms just need the right prompt. The technology is capable of comprehending nuances and contexts through prompts. And no, it’s not just flat information. Platforms backed by generative AI models can efficiently generate thought-provoking write-ups. This saves writing time for people while enabling them to maintain quality and coherence.

Chatbots and Virtual Assistants

Integrating generative AI into chatbots and virtual assistants is taking interactions with websites and apps to a whole new level. Now, the game is all about life-like conversations. These conversations can help users with queries and provide relevant information without any haywire.

Personalized Marketing Campaigns

AI is literally transforming the dynamics of marketing. Marketers are crafting tailored content for individual consumers and devising highly targeted campaigns. So, if you want to cater to the huge market of digital marketing, this generative AI application is for you. With custom AI models, you can deliver a high level of personalization. The result? Happy and satisfied users who enhance their engagement and bolster conversion rates.

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Code Generation

Generative AI is making waves when it comes to core software development. It’s like a boon for developers as it can code all on its own! The only disadvantage is that the automatically generated code can be prone to errors and vulnerabilities. However, this is where you can grab a business opportunity. Relying on professional and advanced digital transformation services can help you launch a platform that can generate code just as the developer wants. This could save a huge time for developers that they’d otherwise spend on writing, testing, and fixing code. These AI models for code generation can handle tasks like:

Code Completion

Think of generative AI models, like ChatGPT, as coding helpers. They’re clever enough to understand the code’s context and suggest what should come next. So, completing a tricky code snippet can be your next big business idea.

Test Case Generation

These AI models are also pretty good at playing detective. They can create scenarios to test software and ensure it’s doing its job properly. It’s like a virtual QA team that helps find out if everything’s working as it should.

Automated Bug Fixing

This one’s also very cool. Do you know how spell check fixes your typos? Well, launching a platform that does that for codes is pretty easy. Your users could feed it the code, and your platform would do it all! It could spot and fix issues, just like a coding buddy.

Model Integration

One of the most impressive generative AI applications is easy to machine learning integration. Yes, ML models are pretty challenging to integrate for small to medium-scale businesses. But you can deliver a platform that can make this complex task a breeze for them and give them a chance to move towards technological advancement without burning the night oil.

New Drug Generation

Finding new drugs that are tested through technology is among emerging generative AI applications. Computer simulations powered by AI and machine learning algorithms are paving the way for this transformative potential.

Drug Discovery and Design

If you’re in the pharmaceutical industry and looking for a breakthrough, then this is it! Generative AI models can speed up the process of drug discovery and design for you. It can create novel molecular structures that meet specific criteria and expedite the identification of promising drug candidates.

Compound Optimization

Generative AI can also work to improve the performance and safety of medicines. It looks at how tiny parts of medicines interact and suggests changes to make them work even better.

Virtual Screening

AI-enabled virtual screening predicts interactions between molecules and proteins. The process aids the identification of potential drug candidates and streamlines the selection process for further investigation.

3D Shape Generation

One of the other popular generative AI applications is 3D shape generation. By investing in generative model creation, you can deliver your target audience a tool that can be used to create 3D shapes and models. Again, techniques like VAEs, GANs, autoregressive models, or neural implicit fields play a huge role here.

This use case is especially beneficial for the manufacturing segment. Whether you cater to automotive or textile companies, such a tool will be one of a kind. Just ensure that you rely on a mobile app development company that holds expertise in next-gen technologies. You can then make 3D-based tasks like 3D printing, 3D scanning, and virtual reality cakewalk.

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Popular Industry-Specific Generative AI Applications

Several industries are shifting towards automation. Of course, generative AI is becoming an inherent part of their operations. You can see the below-given image to understand how key players in various industries are embracing this subset of AI. On that note, let’s check out what are the popular use cases in your industry to look out for.

Entertainment

Media and entertainment is an industry embracing generative AI applications with open arms. With platforms like Midjourney and Adobe’s Creative Cloud Suite, production houses are slashing their manual tasks efficiently. It’s helping them with video generation to automatic song generation. Not just that, gaming studios are generating new characters, storylines, and new game levels with this technology. What’s more? Video production has gone to a whole new level with the easy generation of new animations that help complete movies.

However, the potential is still not fully unleashed. Artists and entertainers are still looking forward to more advanced tools that can help them automate their repetitive and boring tasks. So, if your business has a target audience of influencers, content creators, or people working in the entertainment industry, launching a generative AI-based platform to ease their routine tasks can offer you a competitive edge.

Manufacturing

Generative AI applications have a lot to offer in the manufacturing realm. You can think of this technology as a close aid for people performing manufacturing chores. Though the use cases are plenty, the most striking one is for the production process. When paired with IoT development services, this branch of AI can prove to be a boon for manufacturing businesses. It can evaluate data from sensors responsible for quality checks. This evaluation is then sent to the staff, who ensure that the quality is good to go. If not, they can stop the shipment and make the necessary changes.

Not only this, but generative AI can also help manufacturing businesses with new design suggestions. For example, if someone owns a shoe business, generative AI can help them with automatic 3D model generation to launch their new collection. And the AI magic doesn’t stop there. It gets into robots and automation, too. Imagine robots knowing the perfect way to move and handle stuff. It keeps things safe, fast, and efficient, making the whole manufacturing process smoother and accident-free.

Finance

Fintech companies have multiple generative AI applications to take advantage of. It is excruciating to wrap heads around numbers all the time. And that is where this technology mainly helps. Plus, it speeds up the overall process of generating reports and saves businesses from errors.

For one, generative AI is like a super detective for bankers and traders. It can check out loads of transactions and figure out which ones are fishy. It spots patterns that scream “fraud” and stops those tricky transactions. Moreover, it can help them dig up all the information about credit scores. For people operating in fintech, such information is gold.

It doesn’t stop here. Imagine having an expert that knows when to put money where. Generative AI can turn investments into revenue by helping with the right suggestions, balancing risks, rewards, and how bumpy things get. It can be called a trading wizard in that sense. It cooks up strategies for buying and selling stuff based on what happened before and what’s happening now.

Healthcare

As discussed in the popular generative AI applications above, AI-based drug discovery is currently at hype. But wait, there’s more. This technology doesn’t stop at drugs. It’s like a personal doctor crafting treatment plans that fit patients perfectly. It dives deep into their medical history and symptoms to create personalized plans that make a recovery smoother and faster.

And let’s not forget about medical imaging. By teaming up with machines like CT and MRI scanners, generative AI software makes those images sharper and more precise. It’s like adding a magnifying glass to doctors’ tools, helping them spot issues better and making diagnoses more accurate. Thus, from finding cures to treating patients to making medical images clearer than ever, you can stay hopeful with generative AI to boost your healthcare operations.

Read More: Generative AI Healthcare Use Cases: Transforming Healthcare Deliverance

Real Estate

Yes, you read that right. Generative AI applications are unfolding themselves even in the real estate sector. In fact, people can now anticipate a property’s value according to factors such as location, size, and condition. Such functionality is no less than a superpower for real estate professionals and investors. With AI, they can now quickly and accurately assess property values.

And if we talk about customized software, you can help your target users personalize their property recommendations based on their preferences. But, if you’re planning to cater to architects and builders, you can get a go-to software for them that lets them generate designs instantly according to what they have in mind. The possibilities are endless here. All you have to do is bring your idea to the table and transform the real estate segment with the magic of generative AI.

Retail and e-Commerce

The retail industry is also experiencing unprecedented advancement with generative AI applications. Through data-driven insights, it breathes life into product design. It does so by generating variations that resonate with market trends and consumer preferences. Not just limited to design, the technology also adds the touch of personalization. It can tailor display options to individual choices, creating an immersive and engaging experience.

Still, we know eCommerce is not just about the products. It’s also a lot about how you market the product. And that’s another area where you can support businesses in retail. With generative AI-powered software, you can help them craft product descriptions, promotional material, and SEO-enhancing blog posts.

On the customer front, AI-driven product recommendations can redefine their shopping experience. Because you can also use it for sentiment analysis, it senses customer preference through past purchases and product interactions. Thus, if you launch a platform around it, you can reduce the workload of sales and marketing teams and enable them to focus on devising strategies.

Though these are just a few industries, generative AI is significantly impacting various others. How do we know? Well, the rising numbers of its dynamic use cases speak it all!

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How to Get Started With Generative AI Applications?

Launching a platform around a hyped-up technology can be highly competitive. But you need not get nervous. A straightforward and goal-oriented approach will make you win. Here’s how we suggest it:

Selecting the Right Generative AI Solution

You know what your strengths and weaknesses are. For instance, if you’re into entertainment and you know your team is great at handling singers from various genres, you can launch a platform that helps these artists generate new music. Rest all your team and vendor could manage. You could also start something from scratch, as this technology can take you far with anything. However, ensure you have enough resources to cater to your audience’s needs.

Crafting an Implementation Strategy

Before diving into any transformation, having a clear plan is crucial. Create a roadmap for implementation, set guidelines, define success metrics, and assign responsible individuals to oversee the process.

Securing Tech and Expertise

This is the most crucial step in kicking off your business with generative AI. Here, you have multiple options, from hiring freelance developers to selecting a reputed software development company. If you want everything to be professional and perfect, the latter option is the best to get started with generative AI applications.

Preparing the Data

This part is more of your development partner’s duty. All you have to do is oversee that they’re working in the same direction. Data is crucial for insightful suggestions and high-quality output. So, command your team to gather accurate, unbiased, and comprehensive information and plan for ongoing dataset maintenance and updates.

Thorough Solution Testing

Ensure your chosen team of developers and testers thoroughly tests your platform in the making. Rigorous testing ensures avoiding low-quality, biased, or incorrect AI output. There are several types of testing you can consider for your solution to assess its performance in solving real-world business tasks.

Deploying Your Generative AI Solution

Once your solution successfully passes testing, it’s ready for real-world applications. But it doesn’t end with deployment. Keep in touch with your vendor to continuously evaluate its performance and implement upgrades. A good level of maintenance ensures your business improves over time.

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Unlock the Power of Generative AI Applications with Matellio

The current technological era is a lot about embracing the advent of generative AI. While some businesses are surprised, others are grinding to fit it into their operations for hefty revenues. And let us tell you that early adopters are going to reap the most benefits. It’s so because this technology is advancing at a high pace. Therefore, to stay resilient with it, you need a progressive software development partner. And who’s better than Matellio? We don’t just deliver solutions; we ignite transformations. With our seasoned expertise and proven track record, we’re not just a partner — we go above and beyond to become the catalyst for your success. Let’s make your visions a reality powered by innovation. Your journey to generative greatness starts here.

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Apoorv Gehlot

Founder & Board Member at Matellio — Technology enthusiast with enterprise solution design & development expertise