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The Rise of China's AI: What Does It Mean for the Global Landscape?
1/6/24
Editorial team at Bits with Brains
While we often think of the US as dominant in this field, dominance is often fleeting when it comes to technology.
As Artificial intelligence (AI) continues to rapidly evolve, it continuously presents new opportunities and challenges for organizations worldwide.
While we often think of the US as dominant in this field, dominance is often fleeting when it comes to technology. Both France (Mistral) and China (Baidu) have their own very competitive offerings. And as AI capabilities continue to advance, global leadership in this area will remain contested.
China has emerged as a major player through models like Baidu's ERNIE 4.0. This system demonstrates comprehension, reasoning, and language generation comparable to market-leading models like GPT-4. However, ERNIE’s strength lies in Chinese language processing. It can handle English well, but not to GPT-4’s level.
What sets ERNIE apart is its ability to incorporate images and videos into responses. This multimodal capability reflects China's uniquely massive and diverse datasets. Baidu has trained ERNIE on trillions of webpages, billions of search queries and images, daily voice data, and a 550 billion fact knowledge graph. The latest ERNIE 4.0 contains 260 billion parameters, exceeding GPT-4’s size.
Testing shows major improvements in understanding, reasoning, memory, and generation capabilities. ERNIE can now comprehend complex and disorganized human queries before providing coherent answers. It can also solve advanced reasoning problems while integrating new information into its knowledge base.
Baidu has already integrated ERNIE into over 500 applications across sectors. The model supports an array of use cases, from search to recommendations to chatbots. This integration with real-world systems is a key advantage over standalone research models like GPT-4.
ERNIE’s multifaceted training via multitask learning enables diverse capabilities. GPT-4 uses a different reinforcement learning approach focused on mimicking human text. Each has tradeoffs, but ERNIE’s breadth is well-suited to Baidu’s needs.
China’s rapid AI progress clearly signals its ambitions. Chinese researchers have pioneered training techniques powering systems like ERNIE. The industry has also shown resilience, continuing to advance despite economic and geopolitical headwinds.
As China’s AI capabilities grow, its influence over global norms and standards may increase as well. With its different values around privacy and censorship, China could promote a very different AI landscape than Western nations envision. Especially in the developing world, where Chian has a strong foothold.
The rise of models like ERNIE makes clear that AI leadership is up for grabs. As the US, China, and others compete in this space, businesses worldwide must track these developments to best harness AI's potential. One thing is certain – the AI landscape will continue rapidly shifting in the years ahead.
As I said, dominance can be fleeting.
Citations:
[1] https://edition.cnn.com/2023/12/15/tech/gpt4-china-baidu-ernie-ai-comparison-intl-hnk/index.html
[2] https://www.cnn.com/2023/12/15/tech/gpt4-china-baidu-ernie-ai-comparison-intl-hnk/index.html
[3] https://originality.ai/blog/baidu-ernie-bot-statistics
[4] https://www.techrepublic.com/article/gpt-4-cheat-sheet/
[6] https://www.semrush.com/blog/gpt-4/
[7] https://nerdynav.com/baidu-ernie/
[9] https://botpenguin.com/blogs/what-is-ernie-bot
[10] https://www.techtarget.com/whatis/definition/GPT-4
[11] https://www.technologyreview.com/2023/03/16/1069919/baidu-ernie-bot-chatgpt-launch/
[12] https://www.scientificamerican.com/article/what-the-new-gpt-4-ai-can-do/
Sources