Alphabet Inc.’s Google<\/a>, Baidu Inc. and Microsoft<\/a> Corp. are all sprinting to get ahead in the race to create the world’s best chatbot, and yet, the one that sparked this global frenzy was a startup. 字母Inc .)谷歌,百度公司和微软获得成功的公司都是短跑竞赛创造世界上最好的chatbot,然而,引发了全球的狂热是一个创业公司。
OpenAI is now very well funded, courtesy of a $10 billion commitment from Microsoft<\/a>, but it does suggest that the moment we’re in harbors opportunity for the little guys.
The biggest challenge with artificial intelligence<\/a> today is how to best use it, and startups will always have the advantage of being able to experiment more freely. Google<\/a>’s ChatGPT rival, Bard, cost the company $120 billion in market value overnight after the machine made a mistake during a public demonstration.
Entrepreneurs in China and India said tech giants will have to work in tandem with startups to win the race. The former has the huge computational power and proprietary data troves needed to make a chatbot sound intelligent — and the other has the agency to try bold, and potentially foolish, things.
One example is Urvin Soneta<\/a>’s Synth AI<\/a> Labs Inc., an Indian startup whose software transcribes and summarizes audio conversations for corporate customers. Soneta<\/a>, 26, said small companies can own a niche and don’t have to go after a giant market from the start like a big tech company does.
The Hong Kong-based startup Pantheon<\/a> Lab Ltd. uses OpenAI’s GPT-3 to power its product. Ivan Lau<\/a>, the CEO, said Pantheon<\/a> doesn’t have the resources to train its own large language models and has to rely on big companies like Meta Platforms Inc. to open-source their language libraries. Small companies focus on the applications people use while the big ones provide the raw materials — that’s Lau<\/a>’s vision.
There’s plenty for big tech to be optimistic about, though. Cloud providers enjoy a disproportionate advantage, said Rathin Rawal, a PwC and Kearney<\/a> alum who’s incubating a new AI startup in Toronto. Alibaba Group Holding Ltd.’s Daniel Zhang agrees. The chief executive officer said during the company’s last earnings call that there’ll be exponential growth in demand for computing power to support AI applications and that will be “a big opportunity” for Alibaba.
China presents a unique challenge that Silicon Valley is unlikely to crack. Chinese companies are rushing not just to create a smart chatbot but one that complies with the country’s strict censorship rules. Baidu or Tencent Holdings Ltd. is much better practiced at implementing state diktats than any newcomers might hope to be.
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资助OpenAI现在很好,承诺的100亿美元微软,但它确实表明,目前我们在港口的小家伙的机会。
最大的挑战人工智能今天是如何最好地使用它,和初创公司总有能够更自由地实验的优势。谷歌ChatGPT对手,吟游诗人、成本后的公司在一夜之间1200亿美元的市场价值机器公众游行时犯了一个错误。
一个例子是UrvinSonetaSynth的人工智能实验室有限公司,一个印度软件转录的启动和总结音频对话为企业客户。Soneta26日说,小公司可以拥有一个利基,不必追求一个巨大的市场从一开始就像一个大的科技公司。
总部位于香港的公司万神殿实验室有限公司使用OpenAI GPT-3其产品。伊凡刘,首席执行官说万神殿没有资源来训练自己的大型语言模型和依靠大公司像元平台公司开源语言库。小公司集中在大的人们使用的应用程序提供的原材料-刘的愿景。
有很多大型科技持乐观态度,尽管。云提供商享有不成比例的优势,普华永道Rathin拉瓦尔大声回答说卡尼明矾的酝酿一个新的人工智能启动在多伦多。阿里巴巴集团(Alibaba Group Holding Ltd .)张勇对此表示赞同。首席执行官公司去年财报电话会议中说,会有需求指数增长的计算能力支持人工智能应用程序,将阿里巴巴的“一个巨大的机遇”。
中国提供了一个独特的挑战,硅谷不太可能破裂。中国企业纷纷不仅创造一个智能聊天机器人,一个符合中国严格的审查制度。百度或腾讯控股有限公司在实施更好的练习比新人可能希望国家政府指令。
Alphabet Inc.’s Google<\/a>, Baidu Inc. and Microsoft<\/a> Corp. are all sprinting to get ahead in the race to create the world’s best chatbot, and yet, the one that sparked this global frenzy was a startup.
OpenAI is now very well funded, courtesy of a $10 billion commitment from Microsoft<\/a>, but it does suggest that the moment we’re in harbors opportunity for the little guys.
The biggest challenge with artificial intelligence<\/a> today is how to best use it, and startups will always have the advantage of being able to experiment more freely. Google<\/a>’s ChatGPT rival, Bard, cost the company $120 billion in market value overnight after the machine made a mistake during a public demonstration.
Entrepreneurs in China and India said tech giants will have to work in tandem with startups to win the race. The former has the huge computational power and proprietary data troves needed to make a chatbot sound intelligent — and the other has the agency to try bold, and potentially foolish, things.
One example is Urvin Soneta<\/a>’s Synth AI<\/a> Labs Inc., an Indian startup whose software transcribes and summarizes audio conversations for corporate customers. Soneta<\/a>, 26, said small companies can own a niche and don’t have to go after a giant market from the start like a big tech company does.
The Hong Kong-based startup Pantheon<\/a> Lab Ltd. uses OpenAI’s GPT-3 to power its product. Ivan Lau<\/a>, the CEO, said Pantheon<\/a> doesn’t have the resources to train its own large language models and has to rely on big companies like Meta Platforms Inc. to open-source their language libraries. Small companies focus on the applications people use while the big ones provide the raw materials — that’s Lau<\/a>’s vision.
There’s plenty for big tech to be optimistic about, though. Cloud providers enjoy a disproportionate advantage, said Rathin Rawal, a PwC and Kearney<\/a> alum who’s incubating a new AI startup in Toronto. Alibaba Group Holding Ltd.’s Daniel Zhang agrees. The chief executive officer said during the company’s last earnings call that there’ll be exponential growth in demand for computing power to support AI applications and that will be “a big opportunity” for Alibaba.
China presents a unique challenge that Silicon Valley is unlikely to crack. Chinese companies are rushing not just to create a smart chatbot but one that complies with the country’s strict censorship rules. Baidu or Tencent Holdings Ltd. is much better practiced at implementing state diktats than any newcomers might hope to be.
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