Have you ever wondered how amazing it would be if you could ask a computer to draw a beautiful picture for you with a single sentence, or write a poem for you with a single word, or ask a computer to generate a paragraph for you with a piece of sound?These seemingly impossible things can now be achieved with multimodal AI.
Multimodal AI refers to artificial intelligence technology that is capable of processing and generating different types of data, such as text, images, audio, etc. It allows computers to better understand human language and thinking, and it also allows humans to make better use of their abilities and creativity. Multimodal AI is an emerging blue ocean track of artificial intelligence, and its application prospects and commercial value are very huge. So, how does multimodal AI come about?
The core technology of multimodal AI mainly includes three aspects: generation algorithms, large-scale models, and multimodal technologies. Generative algorithms refer to algorithms that can Xi learn from data and generate new data, such as generative adversarial networks (GANs), variational autoencoders (VAEs), autoregressive models (ARs), etc.
Generative algorithms allow computers to mimic human creative processes and generate a wide variety of content, such as images, text, etc. Large models refer to models that can process and store massive amounts of data, such as BERT, GPT, and T5. Large models allow computers to have greater computing power and a knowledge base, improving the quality and efficiency of their understanding and generation.
Multimodal technology refers to technology that can fuse and transform different types of data, such as visual-language models (VL), speech-language models (SL), image-audio models (IA), etc. Multimodal technology allows computers to cross the boundaries of data and realize the interaction and creation between different modalities.
There are many representative works of multimodal AI, and here we will only introduce the three most representative and influential works, which are Dall-E2, Stable Diffusion, and ChatGPT. DALL-E2 is a model developed by OpenAI that is capable of generating images based on text descriptions, which is improved and expanded on the basis of DALL-E, capable of generating higher resolution and more diverse images.
DALL-E2 can generate images that match the description based on arbitrary text descriptions, such as "a cat in a suit", "a Mona Lisa's smile", etc., showing amazing imagination and creativity. Stable Diffusion is a model developed by DeepMind that is capable of generating text from images, and it is a generation algorithm based on the Stable Diffusion Process (SDP) that is able to generate smoother and more coherent text.
Stable Diffusion can generate text describing images from any image, such as a landscape photo, a person photo, etc., demonstrating excellent comprehension and expression skills.
ChatGPT is a model developed by Microsoft that is capable of natural conversations with humans, it is a large language model based on GPT-3, capable of handling multiple languages and topics. ChatGPT can generate appropriate responses based on human input, such as a greeting, a question, a suggestion, etc., showing a friendly attitude and intelligent answers.
There are many leading companies in multimodal AI, and here we will only introduce the three most powerful and influential companies, namely OpenAI, Deepmind, and Microsoft. OpenAI is a non-profit research institute dedicated to creating and promoting friendly artificial intelligence, and its mission is to ensure that AI can benefit all of humanity and not be controlled and exploited by a few.
OpenAI's research areas cover natural language processing, computer vision, intensive chemical Xi, generative models, etc., and its representative works include GPT series, DALL-E series, CLIP, Jukebox, etc. DeepMind is an artificial intelligence company focused on solving humanity's hardest problems, and its vision is to create artificial intelligence that can learn Xi anything, thereby advancing science and society.
Deepmind's research areas include neural networks, deep chemistry Xi, strong chemical Xi, generative models, etc., and its representative works include Alphago, Alphazero, W**Enet, Stable Diffusion, etc.
Microsoft is a leading global provider of software and cloud services that aims to help every person and every organization achieve more through technological innovation. Microsoft's research fields involve natural language processing, computer vision, speech recognition, machine translation, etc., and its representative works include Bing, Cortana, ChatGPT, Turing-NLG, etc.
Multimodal AI is an emerging blue ocean track of artificial intelligence, its core technology is generative algorithms, large models and multimodal technology, its representative works are DALL-E2, Stable Diffusion and ChatGPT, and its leading companies are OpenAI, DeepMind and Microsoft.
The development of multimodal AI will bring infinite possibilities and surprises to mankind, and will also bring new challenges and responsibilities to mankind. We should actively pay attention to and participate in the research and application of multimodal AI, and at the same time, we should be vigilant and guard against the risks and ethical issues of multimodal AI.