A Game Changer for Content Creation
Among the AI-related technologies that have emerged over the past few years is generative AI — a deep learning algorithm that enables computers to generate raw content such as text, images, video, audio, and code. Demand for such content is likely to explode in the coming years – Gartner predicts generative AI will account for 10% by 2025 All data createdand 1% in 2022.
“Théâtre D’opéra Spatial” is an example of AI-generated content (AIGC), created using the Midjourney text-to-art generator program. 2022 also sees several other AI-driven art-generating programs capable of creating paintings from single-line text prompts. The diversity of techniques reflects a wide range of art styles and varying user needs.For example, DALL-E 2 and Stable Diffusion mainly focus on Western-style artwork, while Baidu’s Ernie Verger and Wenxinyi Pavilion Produce images influenced by Chinese aesthetics. At Wave Summit+ 2022, Baidu’s deep learning developer conference, the company announced that Wenxinyige has been updated with new features, including turning photos into AI-generated art, image editing, and one-click video production.
At the same time, AIGC can also include articles, videos, and various other media products, such as speech synthesis. Speech synthesis is a technique for generating audible speech that is indistinguishable from the original speaker’s voice and can be applied in many scenarios, including voice navigation for digital maps. Baidu mapFor example, allowing users to customize voice navigation to their own voice by recording just nine sentences.
Recent advances in artificial intelligence technology have also created generative language models that can compose text fluently with just one click. They can be used to generate marketing copy, process documents, extract summaries, and other textual tasks, unleashing creativity untapped by other technologies like speech synthesis.One of the leading generative language models is Baidu ERNIE 3.0Has been widely used in medical, education, technology, entertainment and other industries.
“In the past year, artificial intelligence has made a huge leap, changing its technical direction,” said Robin Li, chief executive of Baidu. “AI has gone from understanding images and text to generating content.” Going a step further, Baidu App, a popular search and newsfeed app with more than 600 million monthly users (including 5 million content creators), recently released a video editing feature , a short video with voice-over can be made based on the data provided in the article.
Improve efficiency and growth
As AIGC becomes more ubiquitous, it can increase the efficiency of content creation by freeing creators from repetitive, time-consuming tasks such as organizing source assets and recordings and rendering images. For example, aspiring filmmakers have long paid a price by having to spend countless hours mastering the complex and tedious process of video editing. The AIGC may not need to do this anytime soon.
In addition to improving efficiency, AIGC can also facilitate business growth in content creation as the demand for personalized digital content that users can interact with dynamically grows. InsightSLICE predictions The global digital creation market will grow by an average of 12% per year between 2020 and 2030, reaching $38.2 billion. As the rate of content consumption rapidly outpaces production, traditional development methods may struggle to meet this growing demand, creating a gap that can be filled by the AIGC. “AI has the potential to satisfy the huge demand for content at a tenth of the cost and a hundred or thousands of times faster in the next decade,” Li said.
Human-Based Artificial Intelligence
AIGC can also be used as an educational tool to help children develop their creativity. story drawerFor example, it’s an AI-powered program designed to boost children’s creative thinking, which tends to decline as the focus of their education shifts toward rote learning.