“In the United States, there is no suspense in doing open-source large models or doing general-purpose ones. The investment has also been clear. However, in China, it is not yet determined who can do the best large model. Everyone has a chance to strive for it and it may not necessarily be limited to big companies.” mentioned Wang Xiaochuan, CEO of Baichuan at a media convention on August eighth.
According to the “Research Report on China’s Artificial Intelligence Large Model Map,” as of May twenty eighth, at the very least 79 large-scale fundamental fashions with a parameter scale of over one billion have been launched domestically. If we hint again to when Google launched the Transformer community construction in 2017, numerous types of giant mannequin applied sciences which have been utilized in numerous situations have emerged globally inside 5 years.
On the afternoon of August eighth, Baichuan introduced the discharge of its third large-scale product, Baichuan-53B, and initiated the primary spherical of inside testing. At the identical time, Wang Xiaochuan accepted interviews from media retailers corresponding to Jiemian News.
Previously, on July eleventh, Baichuan launched two quantized variations of its basic giant language mannequin Baichuan-13B-Base and chat mannequin Baichuan-13B-Chat, with a parameter measurement of 13 billion. This launch signifies that in simply 4 months since its institution, Baichuan has already launched three large-scale mannequin merchandise at an astonishing velocity.
Although the names of those three giant fashions all begin with “Baichuan”, Wang Xiaochuan particularly identified that these giant fashions will not be positioned as sandbox merchandise for final client use, however quite primarily serve business-to-business (B2B) functions.
On the afternoon of the eighth, Baichuan’s third mannequin, Baichuan-53B, launched its first batch of inside testing companies. Interface News reporters discovered by testing that this product demonstrated sturdy logical reasoning when answering the most recent and barely difficult questions.
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According to Wang Xiaochuan, the higher functionality of Baichuan-53B is its potential to know the underlying which means behind language generalization. This product represents sturdy skills in abstraction, analogy, and affiliation at a stage akin to humanities topics. It can organically join numerous ideas. “Our model is at the forefront in the field of humanities,” mentioned Wang Xiaochuan.
In reality, the large-scale mannequin of sturdy language and science skills embodies Wang Xiaochuan’s technological aesthetics. In an interview in the beginning of April when he began his enterprise, he talked about that logic itself is just not superior. Higher-level human knowledge lies in analogy and abstraction, corresponding to classification and classes, which ChatGPT does fairly properly.
But whether or not it’s the earlier accumulation of language skills by the Sogou group, or the spectacular efficiency of the brand new product when it comes to grammar, rhetoric, and logic, Baichuan Intelligence’s mannequin is just not aimed on the C-end. Although the Baichuan group has deployed tremendous purposes together with C outdoors of B-to-B situations, Wang Xiaochuan emphasised that the present open interface testing is to assist everybody make progress of their work and never particularly optimized for C-end situations. “Regardless of the previous 7B and 13B or 53B, it is more about preparing for B-to-B industries.” Next month, Baichuan-53B will open its API and associated parts may also be step by step opened.
This detailed expression has triggered a false impression in regards to the positioning of B-end and C-end inside the similar firm.
Just not too long ago, a outstanding VC investor informed reporters that the first market is at the moment not optimistic about fashions focusing on B2B vertical sectors as a result of it’s tough to ascertain limitations based mostly on information. In response to this, Wang Xiaochuan expressed to Interface News that whereas the ceiling for large-scale B2B fashions might not be excessive, there’s really extra readability when it comes to certainty. Many enterprises have B2B calls for; nonetheless, the complexity of integration and excessive R&D prices pose challenges. Each enterprise has its personal proprietary information, so it’s essential to ascertain efficient intermediate-layer connections. Without mannequin, each events may undergo. He additionally introduced a imaginative and prescient for a enterprise mannequin involving large-scale B2B fashions: “With natural real-life scenarios on the B2B side and an intermediate layer providing enterprise services along with companies (such as ours) developing models in the background – I understand it as such a three-tier structure,” Wang Xiaochuan identified.
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But he additionally informed that after finishing the B-side, they’ll begin to fill within the C-side structure. Baichuan won’t solely concentrate on one course.
The present emphasis on the B-end positioning additionally explains Wang Xiaochuan’s selections when it comes to open supply and closed supply. He acknowledged that giant fashions themselves don’t essentially cater to the C-end, in contrast to Android or iOS the place a selection between the 2 is required. From the attitude of the B-end, each open supply and closed supply are literally wanted.
According to media experiences, after the surge of the large mannequin development in March this yr, Wang Xiaochuan made the choice to enter the large mannequin entrepreneurship inside two weeks. At this time level, a number of main huge mannequin firms corresponding to Zhipu AI and MiniMax have already gained fame.
Wang Xiaochuan admitted that in comparison with huge mannequin firms like Zhipu AI and MiniMax, which have already got a sure market affect, Baichuan entered the market as a latecomer. Therefore, open supply is a method to display technological energy. “We believe that technology development will be very fast in the future, as long as there is continuous technological iteration, it will generate its own business model.” Wang Xiaochuan values the worth introduced by open supply. He believes that 80% of firms sooner or later will use open-source fashions as a result of they’re compact and closed-source and can’t present optimum adaptation for a lot of situations.
Since March this yr, numerous large-scale ChatGPT fashions have emerged in China at a fast tempo, inflicting confusion. Along with this growth is the development of an analysis system. In July, IDC surveyed 14 mainstream Chinese market distributors of large-scale mannequin know-how and examined greater than 10 indicators for these fashions. They launched the “AI Large Model Technology Capability Assessment Report 2023,” which sparked heated discussions. Subsequently, extra analysis establishments have invested sources to publish corresponding analysis requirements.
Wang Xiaochuan believes that amongst numerous rankings, Super Clue and the analysis benchmark launched by Fudan University are comparatively truthful and may present insights into mannequin high quality. According to him, the English language potential of Baichuan’s second large-scale mannequin 13B is on par with Meta’s open-source large-scale mannequin LLaMA1, whereas its Chinese language functionality is main domestically, due to iterative growth enabled by open supply.
In late July, Sogou’s former CMO Hong Tao joined Baichuan to supervise the commercialization enterprise. With this, Sogou’s former CEO Wang Xiaochuan, former COO Ru Liyun, and former CMO reunited at Baichuan. At the media convention on August eighth, one other determine from Sogou’s outdated group appeared – Chen Weipeng, the previous basic supervisor of Sogou Search. He is a key determine in know-how collaboration at Baichuan and performed an indispensable position within the launch of three large-scale mannequin merchandise inside 4 months.
Wang Xiaochuan sighed with emotion. Among the outdated group members of Sogou, everybody trusts one another and can prioritize returning to the group. “Wei Peng, Hong Tao, Li Yun, and Ma Zhao are all part of the old team,” Wang Xiaochuan launched.
Currently, Baichuan has 103 members, with technical professionals accounting for 70-80%. Chen Weipeng, the co-founder of know-how, acknowledged to Interface News that the very best abilities from numerous enterprise traces of Sogou have now gathered in Baichuan. However, Baichuan can be recruiting numerous abilities from home giants, startups, and Silicon Valley. He discovered that within the AI2.0 period, there are vital variations within the required expertise for positions corresponding to product managers in comparison with the AI1.0 period.
When it involves the standards for choosing technical abilities within the period of fierce competitors, Chen Weipeng acknowledged that Baichuan tends to favor two sorts of abilities. The first sort is those that have sturdy problem-solving expertise for complicated points and possess sense of aesthetics towards algorithm programs. The second sort is these with strong foundational expertise in numerous applied sciences and who’ve a powerful want to construct giant fashions themselves.
In phrases of financing progress, in the beginning of April when it was established, Baichuan was reported to have already obtained $50 million in seed funding from private help from Wang Xiaochuan and his business buddies. Wang Xiaochuan additionally revealed that through the first spherical of financing, Baichuan had a valuation exceeding $500 million, and for the following spherical of financing, the valuation will exceed $1 billion. Currently, the brand new spherical of financing can be progressing very easily.
With Wang Xiaochuan and Wang Huiwen beginning their entrepreneurial journey collectively, beforehand being a number one mannequin firm within the Zhuyuan system, they’d a slight first-mover benefit. When web giants like Wang Xiaochuan introduced their entrepreneurship, the capital instantly expressed excessive recognition for these AGI star entrepreneurs who had been able to go solo. As we entered July, there was an undercurrent within the major market as some buyers took the lead and occasions started to brew with AI giants becoming a member of forces.
Regarding the extra intense competitors that could be confronted, Wang Xiaochuan believes that an organization wants a soul. Various contributors within the present enterprise capital business have many misunderstandings about know-how, corresponding to their earlier understanding of search which clearly had numerous misjudgments. “Whether it is (the outside world) hoping for technology-driven or content-driven, at least from my 20 years of work experience, I think their interpretations are still relatively shallow,” Wang Xiaochuan additionally identified his notion of the essence of search. “In the past during the development period of AI, everyone slowly forgot that search is also AI, and today there are many similarities between building large models and doing the search.”
…. to be continued
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