Generative AI is a powerful technology that anyone can benefit from to produce high-quality textual, visual or audio content.
In this blog post, we'll explain how generative AI works and the benefits and opportunities you can gain from using it.
If you are ready, let's continue!
- Generative AI is a form of artificial intelligence technology that uses existing data to generate new and unique data.
- Generative AI uses different algorithm models such as NLP, GANs, and VAEs.
- The most popular examples of generative AI include TextCortex, ChatGPT, and, Midjourney.
- You can use generative AI tools in various areas to increase the profitability of your business.
What is Generative AI?
Generative AI is a form of artificial intelligence that uses previous data to generate new and unique data. While other types of artificial intelligence analyse data using existing data, generative AI can improve the data it produces and use it to generate new data. The most important feature that distinguishes generative AI from other types of artificial intelligence is that it is creative.
How Does it Work?
Generative AI can create new and unique outputs by training the data obtained using machine learning algorithms to create new data from existing data. Using these outputs as data, he can develop them or use them for new output.
Generative AI's generating capacity is convenient in repeating these operations over and over. For example, you can use different images as data to obtain an image. Generative AI will create new images using these images according to the commands you give and reuse the images it creates for the most consistent output.
Generative AI Models
Generative AI uses different algorithm models to generate output. The first of these models is the natural language processing (NLP) method. NLP can convert raw characters such as letters, words, and syllables into sentences and paragraphs. Also, it can be used to reconcile those images and to obtain a whole from the image parts.
Another of the generative AI models is generative adversarial networks (GANs). Generative adversarial networks (GANs) are a deep learning technology that uses two neural networks, generative and discriminative, to generate high-quality data. GANs can be used in a variety of fields, from image generation to sound synthesis.
Another model used for generative AI to work is Variational AutoEncoders (VAEs). VAEs, which use two different neural networks like GANs, are the most effective and useful data processing model.
AI vs Generative AI
Traditional artificial intelligence analyses existing data, recognizes patterns, and gives a single result. Generative AI, on the other hand, is a type of artificial intelligence that focuses on generating new data or results, rather than simply analyzing and processing existing data.
It only takes a single instruction / prompt for generative AI system to compose material by on its databases. Additionally, the artificial intelligence can be directed to augment already-created content and generate new material out of it.
What can Generative AI Produce?
The content you can produce using generative AI is limited by your imagination. If you want to create a visual novel of a story, you can use generative AI. If you want to create a story, generative AI will help you. If you want to create a product description for your business or if you want to make a decision by analysing data for your business, you can use generative AI.
Examples of content you can produce using generative AI:
• Splash Art
• Vector Design / Vector Art
In addition to all these, you can use generative AI to produce all visual, audio, text, and code-based content.
Most Popular Generative AI Tools
With the development of generative AI, social media and internet users started to meet generative AI tools. During all this confusion, some tools attract people's attention the most. By trying these tools, users experienced new opportunities and the potential of artificial intelligence.
Generative AI tools with a wide range of users enable most people, start-ups, businesses, and digital workforces to ease the workload. If you are wondering about the most popular generative AI Tools, we have prepared a list for you!
TextCortex is an AI-powered assistant that helps you with creating text-based content. It is available as a web application and a browser extension that you can integrate into your workflow. it is functional for personalized assistance with various features. In fact, you can use the TextCortex Chrome extension fluently on more than 2000 websites.
TextCortex comes with the perfect personal assistant named ZenoChat. By using ZenoChat, you can find answers to your questions, get templates for your content, and get high-quality content. You can access up-to-date web results thanks to web search, the latest feature of ZenoChat.
ChatGPT by OpenAI
ChatGPT is an artificial intelligence system using Natural Language Processing (NLP) to produe textual responses to given prompts. ChatGPT enables natural conversations between humans and machines.
ChatGPT, which can chat like a human, is used in conversation areas such as customer service applications and virtual assistants. By understanding the intent of that user's queries, it can create consistent and natural responses with continuity.
Midjourney, one of the most popular generative AI tools when it comes to producing visual content, is another artificial intelligence tool that creates visual outputs from textual descriptions. Midjourney uses the Natural Language Processing (NLP) model to understand textual descriptions and process them into visual outputs.
To use Midjourney, all you must do is type a descriptive prompt. Midjourney will analyse the details of your prompt and produce various images for you. You can add new commands and details to modify and enhance images. Learn how you can utilize TextCortex to generate Midjourney prompts here.
Midjourney is a tool that most people can use, from businesses to teachers. If you want to prepare slides for your class, design a logo for your business, or just want a unique wallpaper for your phone, you can use Midjourney.
Why Should You Care About Generative AI?
Generative AI is a technology that is evolving every day. Understanding this technology and using it in your daily life will give you great advantages. Generative AI supports tools created to meet your needs in various fields like marketing, copywriting, email writing, visual content production and so much more. From individual use to professional use, generative AI tools will definitely help you with your needs.
You can speed up most of your work by starting to use generative AI as part of your daily life. Since it is an ever-evolving technology, it becomes more useful every day. If you are wondering about the benefits of generative AI tools, keep reading!
Benefits for Businesses
You can use generative AI tools in various areas to increase the profitability of your business. Instead of spending hours preparing emails to reach potential customers, you can use generative AI tools. You can automate repetitive and mundane tasks with generative AI and increase the efficiency of your business.
• Improved Customer Experience: Generative AI systems can target customers with high potential to be interested in your products by analysing customer behaviour patterns and consumption habits.
• Cost Efficiency: Instead of doing repetitive tasks manually, you can save money by automating them with Generative AI.
• Email Productivity: You can use templates in generative AI tools to produce high-quality personalized emails.
• Product Designs: You can use visual-based generative AI tools for uniquely designed products suitable for popular culture.
Benefits for Individual Users
You can get answers to your questions by using generative AI tools. You can quickly learn the topics you need to research for hours by chatting with chatbots powered by generative AI. You can also translate texts from one language to another. If you need visual documents and want a unique image, you can use generative AI tools like Midjourney.