What are the two main types of generative AI models?

Headline

Products like chatbots such as ChatGPT, Copilot, Gemini, and LLaMA, text-to-image AI image generation systems such as Stable Diffusion, Midjourney, and DALL-E, as well as text-to-video AI generators such as Sora all contributed to our daily life. Behind these products are…

Context

Products like chatbots such as ChatGPT, Copilot, Gemini, and LLaMA, text-to-image AI image generation systems such as Stable Diffusion, Midjourney, and DALL-E, as well as text-to-video AI generators such as Sora all contributed to our daily life. Behind these products are different models that support their operation and maintenance. Generative AI（GenAI or GAI) is an artificial intelligence capable of using generative models to generate text, images, videos, or other data, by utilising complex algorithms, models, and rules, learning from large-scale data sets, and then generating new data with similar features, comprehensively surpassing the data processing and analysis capabilities of traditional software.

Evidence

Pending intelligence enrichment.

Analysis

Also read: What is the difference between generative AI and LLM? 2023 is known as the breakthrough year of generative artificial intelligence, the technology from a single language generation gradually to multi-modal, embodied rapid development. Companies such as Anthropic, Microsoft, Google, and Baidu, as well as many smaller companies, have developed generative AI models that are widely used in various industries, including software development, healthcare, finance, entertainment, and more. There are many types of generative AI models, each with its unique approach to content generation. Some of the most well-known types of generative AI models include Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Diffusion, Transformer, and Neural Radiation Field (NeRF) techniques.

Key Points

Generative A is an artificial intelligence capable of using complex algorithms, models, and rules, learning from large-scale data sets, and then generating new data with similar features, comprehensively surpassing the data processing and analysis capabilities of traditional…
There are many types of generative AI models, each with its unique approach to content generation. The most used models are Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs).