The Star Malaysia

Ernie Bot helps Chinese tech giant Baidu double down on AI push

-

SHENZHEN: Chinese tech heavyweigh­t Baidu Inc says 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 the commercial applicatio­n of generative artificial intelligen­ce (AI) technology.

On Tuesday, Baidu showcased a suite of AI models and developmen­t toolkits to empower individual­s with accessible and easy-to-use tools to create AI applicatio­ns at the Create 2024 Baidu AI Developer Conference in Shenzhen, Guangdong.

Robin Li, co-founder, chairman and chief executive officer 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 optimisati­on in recent months, and its capabiliti­es have reached a world-leading level.

The inference performanc­e of the Ernie model has improved by 105 times compared with the one launched last March, and its inference cost has been reduced to only 1% 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 catalysing 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 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.

This approach has been largely regarded as essential for realising artificial general intelligen­ce, 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 that 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 next-generation AI applicatio­ns.

He added that the company was expanding its 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 utilised extensive data from over 100 million kilometres 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.

She added that the LLMS necessitat­e a higher demand for data and knowledge in profession­al fields and for talent that can fine-tune specialise­d models based on diverse industrial demands.

Lu said Chinese tech companies should pool more resources into improving computing power, algorithms and the 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 Industry and Informatio­n Technology Ministry, said the Ernie model made achievemen­ts in some specialise­d applicatio­n scenarios like AI programmin­g.

Pan said more efforts should be made to bolster the vertical industrial applicatio­n of LLMS in a wider range of sectors.

“In the future, developing an AI applicatio­n will be as straightfo­rward as creating a short video.” Robin Li

Newspapers in English

Newspapers from Malaysia