What Is Generative AI? Concept, Capabilities, & Applications

What Is Generative AI? Concept, Capabilities, & Applications

by Evelyn Addison — 1 year ago in Artificial Intelligence 3 min. read

Since I was born, I have seen capacious kinds of dynamics in the context of Artificial Intelligence.

The branch of AI has grown tremendously since then.

In the age of the digital race, the need for artificial intelligence is fueled pro-dementedly.

If we look anywhere, we would generally find things accumulated with Artificial Intelligence.

Today, I’ve talked about Generative AI which is the second most talked AI trend as of now.

Generative AI Explained

By the term “Generative AI” an Artificial Intelligence that generates things such as text, images, memes, avatars, and many unexpectable things from scratch.

Typically, it is described as an AI system that takes input from humans and processes it through deep learning, large language models, and new-age principle methods to produce favorable results.

ChatGPT Plus is a great and relevant example of this kind of AI system. The model uses the latest of its innovation GPT3 and other enhanced versions that helps its AI to produce information faster, relevant, and accurately.

For example; Commanding ChatGPT to write a poem for my 5 five-year old on space subject.

You can do many things using ChatGPT for which, I’ve mentioned a video link below. Go check it out.

Conceptual Overview: Past, Present, and Future

In the past, artificial intelligence has done many great things.

Simply put, it has established a strong foothold for which current scientists are able to develop and innovate at a speed.

Talking about the current state of Artificial Intelligence, the engineers and data scientists are able to draw an immersive AI system for businesses and economic enhancement.

The current ruling AI-models such as DALL-E2, Whisper, and GPT-3 are flawless examples of today’s day and age of AI’s boon.

Drawing conclusions from the current facts of AI-developed models, the future is skyrocketing. Meaning, we would see greater inventions in this ground-breaking segment.

Continuing the note, we probably will soon watch ChatGPT-4 in the coming next few months.

Also read: What Is Gaming In Metaverse? 7 Best Metaverse Games To Play In 2024

Capabilities Of Generative Artificial Intelligence

There are different types of Generative AI models tailored to specific needs and solutions.

Industry leaders such as Google, Microsoft, and Facebook have released context-aware text translation and text-to-image models based on deep learning techniques along with LLMs concept.

For instance; Google released the BERT and LaMDA model, Facebook unleashed the OPT-175B called BlenderBot, and Microsoft’s OpenAI GPT-3, DALL-E2, and Whisper.

All these fragile AI models are catastrophic in their nature. Illuminating generative AI, these models are well trained and tested to deploy accurate text translation, intelligent conversation, text-to-image development using LLMs capabilities.


Taking an example of ChatGPT which is developed on the GPT-3 and GPT 3.5 model, can help you write poems, emails, jokes, and even what you think of.

Applications Of Generative AI

Understand in what fields this technology is grading the verge of generative AI models.


Generative artificial intelligence in video games helping developers and designers to generate new maps, surroundings, new dialogue, or plot lines, or even the virtual worlds.

Frankly calling it Gen-AI, used in gaming in several ways. Upcoming advanced games such Cyberpunk 2077 expansion illuminates this technology severely.

Translation from/to images

I presume that you may have used text-to-image AI models.

DeepAI and DALL-E are two most advanced software that lets you create images from brief descriptions.

Generative AI learns the input from the human and creates images by exploring out the billions of parameters (called it trained large models).

Sound generation

Generative AI can also be used in sound generation. It can generate audio from the data the model collects and interprets.

Ironically, the principle can alter the sound of karaoke or the musical genre of an existing label.

Apart from these generative AI’s applications, it can also be used in generating synthetic information, video generation, instant creation of images, and arts.

Final Verdict

In the end, generative AI is outperforming and the current inventions are proof for this. The evolution of AI has begun and people across the globe have witnessed.

Bookmark to read more new AI predictions and trends of the year.

Thanks for reading 🙂

Evelyn Addison

Evelyn is an assistant editor for The Next Tech and Just finished her master’s in modern East Asian Studies and plans to continue with her old hobby that is computer science.

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