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What is generative AI? And how powerful is it?

Updated: Feb 22, 2023

Everyone is talking about chatGPT as the tool to open the unlimited possibilities in various industries. ChatGPT can do almost anything related to text for humans. ChatGPT can write blog posts, social content or even can be a coding assistant for you.

So, what makes ChatGPT and similar software such great intelligence?


Behind ChatGPT is Generative AI, a popular AI trend this year. But if you think ChatGPT is everything Generative AI can do, the answer would be NO. ChatGPT is just a form of Generative AI that can generate new content instead of analyzing existing data. Generative AI models can produce text and images, including program code, poetry, blog posts, and artwork. In this article, Pixta AI will provide you all information about the amazing power of Generative AI.


First, Let's go through the overview of Generative AI.


What is Generative AI?

Generative AI refers to artificial intelligence algorithms that enable the use of pre-existing content, such as text, audio files, or photographs, to produce new, believable content. In other words, it enables computers to abstract the input's underlying pattern and use it to produce material that is comparable.


How Does Generative AI Work?

To create new data from existing data, generative AI employs a combination of deep learning and machine learning algorithms. Generative AI systems have the capacity to learn from existing data and then produce new data that is comparable to the original data in terms of both structure and content. To create new data from existing data, generative AI systems employ a range of methods, such as natural language processing (NLP) which is the core method to build up ChatGPT, computer vision, and Diffusion model - the core method to create Stable Diffusion, DALLE-2 and Imagen. In addition to producing new text, music, and video, generative AI systems can also produce fresh insights from previously collected data.


What can Generative AI generate?

There are several uses for generative AI, including:

  • Images: Generative AI may produce new images based on already-existing ones. For example, it can produce a new portrait from a person's face or a new landscape from already-existing surroundings.

  • Text: News stories, poetry, and even scripts can be written by generative AI. Text can also be translated from one language to another using it.

  • Audio: Artificial intelligence (AI) can create new music, sound effects, and even voice acting.

How is the output generative AI model produced like?

Generative AI model outputs sometimes look eerily similar to human-generated content. As we've seen, ChatGPT's outputs thus far seem to be superior to those of its predecessors. The outcomes also depend on the model's quality and how well it matches the use case, or input.


In under 10 seconds, ChatGPT can write what one commenter referred to as a "solid A-" essay comparing the nationalism theories of Benedict Anderson and Ernest Gellner. Artificial intelligence (AI)-generated art models, such as DALL-E, can produce bizarre, lovely images on demand, such as a Raphael painting of a Madonna and a child enjoying pizza. Code, video, audio, and business simulations can all be created by other generative AI models.

The data used to train the algorithms are combined in carefully calibrated ways to produce generative AI outputs. These algorithms can appear "creative" in their outputs because of the enormous amount of data needed to train them (GPT-3, for example, was trained on 45 terabytes of text data). Furthermore, the models typically have random components, which enables them to generate a variety of outputs from a single input request, giving the impression that they are even more realistic.


Beyond just content auto-generation, Generative AI can do much more for your business

One of the primary benefits of generative AI is its ability to automate mundane or time-consuming tasks. For example, generative AI can be used to automate the translation of documents into different languages or the writing of long-form articles. This process is often faster, more accurate, and more cost-effective than manual labor. Additionally, generative AI can be used to generate images or videos that can be used to enhance user experience or marketing campaigns.


Automated analysis of massive datasets is another application of generative AI. Businesses may make better decisions and enhance their operations by employing AI algorithms to swiftly and correctly discover patterns and trends in their data. Additionally, generative AI may automate the process of developing new goods or services, enabling firms to quickly come up with creative answers to client requests.


So, is there any limitation of Generative AI?


Without a doubt, the answer is YES! Perhaps only people are unrestricted in this world.


There are many difficulties and restrictions with generative AI because it is still a nascent technology. For instance, in order to create reliable results, generative AI models frequently need a lot of data, which can occasionally be challenging to obtain. Furthermore, given the complexity of AI systems, they might not be able to faithfully imitate human behavior in some situations.


It is common knowledge that immigrants to the first world are often fluent in at least two languages. LLM (Large Language Models) talks must be lengthy in order to seem human-like. Furthermore, as generative AI models frequently depend on intricate algorithms and mathematical equations, they can be challenging to understand and explain. This might lead to unanticipated outcomes and make it challenging to explain why a model is making particular judgments. Additionally, the computational cost of developing and training generative AI models may restrict their applicability in some contexts.


Conclusion

Generative AI still has a lot of space to continuously grow and reach to its full capacity in applications. As one of the most prominent trends of AI in 2023, many companies are developing their software under the power of Generative AI. Pixta AI is not an exception. At Pixta AI, Data annotation software is constantly being improved through the application of generative AI. Thereby, we are always proud to be the leading provider of Data annotation full-packaged service with the most accurate, fastest results at the most reasonable cost in Vietnam and in the world.


Don't hesitate to get in touch with us now to learn more about the plethora of generative AI-related research opportunities!


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