Ernie Bot helps Baidu double down on AI push
Chinese tech heavyweight Baidu Inc said on Tuesday its large language model and ChatGPT-like chatbot Ernie Bot has garnered more than 200 million users since its debut in March 2023.
The company said it is ramping up efforts to bolster commercial application of the generative artificial intelligence technology.
On Tuesday, Baidu showcased a suite of AI models and development toolkits to empower individuals with accessible and easy-touse tools to create AI applications at the Create 2024 Baidu AI Developer Conference in Shenzhen, Guangdong province.
Robin Li, co-founder, chairman and CEO of Baidu, said at the event that the Ernie LLM has now emerged as China’s leading AI foundation model with the broadest range of applications. LLMs refer to AI models fed with huge amounts of text data for use in a variety of tasks, ranging from natural language processing to machine translation.
Li said the Ernie model has achieved an obvious upgrade with improved performance in code generation, code interpretation and code optimization in recent months, and its capabilities reach a world-leading level.
The inference performance of Ernie model has improved by 105 times compared with the one launched last March, and its inference cost has been reduced to only 1 percent of the previous version, he said. Furthermore, more than 85,000 enterprise clients have used Baidu’s enterprise-level LLM platform Qianfan to create 190,000 AI applications.
“AI is catalyzing a revolution in creativity. In the future, developing an AI application will be as straightforward as creating a short video. Everyone can be a developer and create,” Li said.
Li also said the multimodal LLMs that integrate different types of content like text, images, speech and video into AI models are key to the future development of AI technology.
This approach has been largely regarded as essential for realizing artificial general intelligence or AGI, which is a theoretical AI system with capabilities that rival those of a human, Li said.
Charlie Dai, vice-president and principal analyst at Forrester, a research firm, said as one of the leaders in the AI software market in China, Baidu has made substantial progress in the technological evolution of foundation models, which are becoming critical for the next-generation AI applications, adding the company is expanding the business ecosystem of generative AI technology.
At the event, Li also noted that “the most significant use for large visual models is in autonomous driving systems”. Baidu’s goal is not just about teaching AI to create video but also about enabling AI to comprehend real-world dynamics and predict future events, which are critical for driving autonomously.
He said the company has utilized extensive data collected from over 100 million kilometers of testing on complex city roads in China to develop the visual model for its autonomous driving platform Apollo.
The multimodal LLM is an undeniable future development direction for generative AI technology, said Lu Yanxia, research director at market consultancy IDC China, adding the LLMs necessitate higher demand for data and knowledge in professional fields, and for talent that can fine-tune specialized models based on diverse industrial demands.
She said Chinese tech companies should pool more resources into improving computing power, algorithms and quality of data to gain a competitive edge in the global AI chatbot race.
Pan Helin, a member of the Expert Committee for Information and Communication Economy, which operates under the aegis of the Ministry of Industry and Information Technology, said the Ernie model made achievements in some specialized application scenarios like AI programming, while emphasizing more efforts should be made to bolster the vertical industrial application of LLMs in a wider range of sectors.
A report from McKinsey & Co, a global consultancy, said that generative AI will add between $2.6 trillion and $4.4 trillion in annual value to the global economy, resulting in a significant impact across all sectors of industry.