Game changer for content creation
Among the AI-related technologies that have emerged over the past few years are general AI—deep learning algorithms that enable computers to generate original content, such as text, images, video, audio, and text. code. And demand for such content is likely to skyrocket in the coming years—Gartner predicts that by 2025, creative AI will account for 10% all data generatedcompared to 1% in 2022.
“Théâtre D’opéra Spatial” is an example of AI-generated content (AIGC), created with the Midjourney text-to-art generator program. Several other AI-based art creation programs have also arrived in 2022, capable of creating pictures from one-line text prompts. The diversity of technology reflects many different artistic styles and needs of users. For example, DALL-E 2 and Stable Diffusion focus primarily on Western-style artwork, while Baidu’s ERNIE-ViLG and Van Tam Nhat Ca create images influenced by Chinese aesthetics. At the Baidu Wave Summit+ 2022 deep learning developer conference, the company announced that Wenxin Yige has been updated with new features, including turning photos into AI-generated artwork, image editing and One-click video production.
Meanwhile, AIGC may also include articles, videos and many other media services such as speech synthesis. A technology that produces an audible voice that is indistinguishable from the original speaker’s, speech synthesis can be applied in a variety of situations, including voice navigation for digital map. Baidu Mapfor example, allowing users to customize its voice navigation into their own voice just by recording nine sentences.
Recent advances in AI technology have also created common language models that can compose fluent text with just one click. They can be used to create marketing copy, process documents, extract summaries, and other text tasks, opening up creative possibilities that other technologies such as speech synthesis do not exploit. . One of the leading general language models is ERNIE 3.0 by Baiduhas been widely applied in various industries such as healthcare, education, technology and entertainment.
“In the past year, artificial intelligence has taken a leap and changed its technological direction,” said Robin Li, CEO of Baidu. “Artificial intelligence has moved from understanding images and text to creating content.” Taking it a step further, Baidu Apps, a popular search and news feed app with over 600 million monthly users, including five million content creators, recently released an editing feature video can create a short video with voiceovers generated from the data provided in a paper.
Improve efficiency and growth
As AIGC becomes more and more popular, it can make content creation more efficient by eliminating repetitive, time-consuming tasks for creators like sorting source content, recording voice tones and image rendering. Ambitious filmmakers, for example, have long paid the price by spending countless hours mastering the tedious and complicated video editing workflow. AIGC may soon make that unnecessary.
Besides driving efficiency, AIGC can also drive business growth in content creation amid growing demand for personalized digital content that users can interact with. flexible work. InsightSLICE forecast that the global digital creativity market will grow at an average of 12% annually from 2020 to 2030 and reach $38.2 billion. With content consumption faster than production speed, traditional development methods may find it difficult to meet such growing demand, creating a void that AIGC can fill. “AI has the potential to fill this huge demand for content at a tenth of the cost and hundreds or thousands of times faster over the next decade,” Li said.
AI is human-based
AIGC can also serve as an educational tool by helping children develop their creativity. StoryDrawerfor example, is an AI-driven program designed to foster children’s creative thinking, which often declines as their educational focus shifts to rote memorization.