What is generative AI that you can understand in 3 minutes?
Explain the types, how to use them, and what they can do!
In 2022, ChatGPT, a conversational AI service that enables natural conversations similar to humans, was released and attracted a lot of attention.Â
The technology used in ChatGPT to create new content based on prompts is called generative AI.Â
Through this article, we will provide an easy-to-understand explanation of the types of generative AI, what they can do, and representative examples of services in which they can be used.Â
table of contents
â‘ What is generative AI?
â‘¡ Types of generation AI
â‘¢What generation AI can do
â‘£Representative examples of services that utilize generative AI
summary
â‘ What is generative AI?
Generative AI is a field of artificial intelligence that refers to technology that learns specific patterns and rules from data and generates new content and data based on that learning .Â
This type of AI is capable of generating a wide variety of content, including images, audio, and text. Examples include generating new images from existing images and automatically creating text.Â
The range of applications for generative AI is extremely wide, and it is used in a variety of fields such as entertainment, medicine, manufacturing, and marketing. In particular, it is increasingly being used as an automation tool for creative content development and operational efficiency.Â
Differences from Discriminative AIÂ
Generation AIÂ
This is an “artist”-like AI. Create new pictures, sentences, etc. from the information you have learned. For example, draw a new picture from an existing one.Â
Discriminative AIÂ
This is a “detective”-like AI. Correctly identify or classify things from given clues. For example, determining whether a photo is a cat or a dog.Â
In other words, generative AI is good at creating new things, and identification AI is good at correctly classifying existing things .Â
â‘¡ Types of generation AI
The types of generative AI are mainly classified into the following four categories.Â
image generationÂ
Image generation AI generates new images from existing images and data. Examples include facial image generation and landscape image style conversion.Â
text generationÂ
Text generation AI creates new sentences based on specific topics and styles. Used for automatic news article creation, poetry creation, etc.Â
Video generationÂ
Video generation AI concatenates sequences of images to generate new videos. It is sometimes used for special effects in movies and visualization of simulations.Â
voice generationÂ
Speech generation AI generates new voices from text-to-speech (TTS) or existing audio data. It may be used for things like creating artificial music or responding to voice assistants.Â
â‘¢What generation AI can do
Generative AI is utilized in many aspects of business, with benefits and applications such as:Â
Creating an autoresponder chatbotÂ
Create auto-response chatbots using generative AI to respond to common customer questions and inquiries. This increases customer satisfaction and reduces customer support effort.Â
Assisting with content generationÂ
We use AI to create blog headlines, product descriptions, email content, and more. Improve communication and marketing results with effective content recommendations.Â
Business forecasting and insight extractionÂ
Predict future needs, sales, and purchasing patterns based on past data and trends. Contributes to business efficiency, such as inventory management and strategic planning.Â
Optimal information and experience for usersÂ
We provide personalized products and services by analyzing customer behavior and preferences. This leads to increased customer engagement and purchase rates.Â
Automated products and servicesÂ
Learn from customer reactions and requests to generate new ideas for products and features. Massive data processing and pattern recognition generate innovative proposals and new product concepts.Â
Advanced use of natural language processingÂ
It performs a wide variety of natural language processing tasks with precision, including language conversion, text summarization, dialogue processing, and automatic proofreading and generation. The large datasets learned by AI enable these advanced processes.Â
Automatic generation of images, videos, and audioÂ
Automated media content generation allows you to quickly and efficiently create advertising, promotions, educational materials, and more.Â
These applications contribute to overall business growth and innovation by making companies more efficient, increasing customer engagement, and creating new business opportunities.Â
â‘£Representative examples of services that utilize generative AI
Generative AI has been adopted by many large companies due to its wide range of potential applications. Below are some typical examples.Â
NetflixÂ
Netflix uses generative AI to recommend movies and shows to individual users. Generate and suggest the most relevant content based on your past viewing history and preferences.Â
AmazonÂ
Amazon makes extensive use of generative AI, including generating product descriptions and summarizing reviews. It is also used for inventory forecasting and demand forecasting, supporting efficient inventory management and marketing strategies.Â
GoogleÂ
Google’s automatic translation service uses generative AI to achieve translation between multiple languages. Gmail’s Smart Compose feature also leverages text generation technology to help users compose emails.Â
IBMÂ
IBM’s Watson leverages generative AI in healthcare to assist in diagnosis and generate personalized treatment plans from patient medical records.Â
BMWÂ
BMW uses generative design to optimize the design process for car parts. Generative AI helps automatically generate lightweight and efficient part designs. Â
These examples demonstrate how generative AI is helping large enterprises improve operational efficiency, increase customer engagement, and create new business models.Â
summary
Generative AI has recently been attracting attention from a wide range of people, from individuals to companies, as a technology that can produce creative content.Â
Capable of producing a wide variety of content, including the generation of images, audio, and text, this technology has the potential to offer a variety of benefits, including increasing efficiency in daily tasks, supporting creative proposals, and reducing the cost of content creation. have.Â
Even after the start of 2023, various generative AI will appear on the market, and technological progress in this field is expected to continue in the future.Â
