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Google plans AI-powered search as it looks to compete with ChatGPT

2023-02-07
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Google is working on new artificial intelligence features for its flagship search product, according to CEO Sundar Pichai. He told investors that it would roll out aspects of its massive LaMDA large language model into search results “very soon”. During the earnings call he also confirmed the AI would be coming to Google Cloud, Gmail and Docs.

Google's LaMDA large language model will be used to add AI to search and build other tools (Photo: Tada Images/Shutterstock)
Google’s LaMDA large language model will be used to add AI to search and build other tools. (Photo by Tada Images/Shutterstock)

Pressure is growing from Microsoft which has taken a $10bn investment in ChatGPT-maker OpenAI with plans to embed the natural language chatbot into its Bing search engine, Azure cloud services and other consumer and business products.

Google has two large language models, LaMDA with 137bn parameters and PaLM with 540bn. In comparison, GPT-3.5, the model from OpenAI used to train ChatGPT has 175bn parameters. Both Google LLMs are designed around natural language processing but LaMDA, short for Language Model for Dialogue Applications, has already been shown to be capable of engaging in a free-flowing “seemingly endless” conversation on any number of topics.

Pichai says the rollout of AI into Google’s products would begin with LaMDA but both models would be made available so that “people can engage directly with them”. This, he says “will help us continue to get feedback, test and safely improve them” suggesting a ChatGPT-style interface could be on the horizon.

“AI is the most profound technology we are working on today,” said Pichai during the company’s earnings call on Thursday. “Our talented researchers, infrastructure, and technology make us extremely well-positioned as AI reaches an inflection point.”

He has been pushing Google as an AI-first company since 2017, when the company published a ‘field-defining’ transformer research project and work in diffusion models that form the basis of many generative AI applications including image generation tools. “Translating these kinds of technical leaps into products that help billions of people is what our company has always strived on,” said Pichai.

Is Google ready to take on ChatGPT?

Reports suggest Google was taken off guard by the success of ChatGPT, which became the fastest-growing consumer application in history, reaching 100 million active monthly users in January. It was only launched at the end of November as a research project to test the potential for dialogue-based AI.

It has been testing a number of features on employees as part of a plan to respond to the success of the chatbot, and cement its position as an AI-driven company before Microsoft embeds AI into Bing. This includes a chatbot called “Apprentice Bard” built on LaMDA and possible redesigns of its search results page to show AI responses.

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“Very soon, people will be able to interact directly with our newest, most powerful language model as a companion to search, in experimental and innovative ways,” said Pichai. It isn’t clear how soon but he suggested it would be in the coming weeks and months as a beta product, getting feedback and retraining based on responses.

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AI was a central focus of the Alphabet fourth-quarter earnings call, calling it the most “profound technology” the company is working on today. It comes amid growing pressure from Microsoft and others in the search, advertising and cloud space.

Pichai said as well as consumer products, Google would be making APIs and developer tools available to allow them to build with its AI products and language models and “empower them to discover new possibilities with AI”.

Gmail and Google Docs to get AI assistance

This will likely see aspects of LaMDA and PaLM made available through Google Cloud in the same way Microsoft plans to offer multiple OpenAI APIs through its Azure cloud service. Pichai said the tools it would be offering are “particularly amazing for composing, constructing and summarising” but that they would scale slowly as he views them as being “early day” projects.

“Our AI is a powerful enabler for businesses and organisations of all sizes, and we have much more to come here,” said Pichai. “There are a few flavours of this. Google Cloud is making our technological leadership in AI available to customers via our Cloud AI platform, including infrastructure and tools for developers and data scientists like Vertex AI. We also offer specific AI solutions for sectors like manufacturing, life sciences, and retail and will continue to roll out more.”

He said Google would also bring the benefits of large language models into Gmail and Docs, as well as other parts of its Workspace suite of collaboration tools, and provide advertisers with AI research to improve campaigns.

Google also owns DeepMind, a British AI company it acquired for £400m in 2014. As part of the AI-first push, DeepMind will be further incorporated into Google. It has been working closely with other Google-based AI teams and will be reported as part of Google, rather than the company’s “Other Bets” division, from the first quarter of 2023.

This change in reporting “reflects the strategic focus in DeepMind to support each one of our segments” said Ruth Porat, Alphabet’s CFO during the earnings call. “We consolidate Other Bets into Google only when that bet supports products and services within Google or Alphabet broadly” she explained. This has previously included cybersecurity company Chronicle being rolled into Google Cloud.

DeepMind has also been working on natural language models, including the 280bn-parameter Gopher, with a focus on dialogue and natural language. It is also exploring ways to ensure it aligns with human values. As part of this, it has developed its own chatbot named Sparrow, trained to reduce the risk of unsafe and inappropriate answers, and have the ability to browse the internet to confirm its responses are accurate.

Read more: Microsoft to integrate ChatGPT into Teams

Topics in this article : AI , Google , Microsoft

参考译文
谷歌计划推出人工智能搜索,以期与ChatGPT竞争
谷歌首席执行官桑达尔·皮采表示,该公司正在为其旗舰搜索产品开发新的人工智能功能。他告诉投资者,谷歌将“很快”将其庞大的LaMDA大型语言模型的某些方面推广到搜索结果中。在收益电话会议上,他还证实人工智能将出现在谷歌Cloud、Gmail和Docs上。来自微软(Microsoft)的压力越来越大。微软向chatgtp制造商OpenAI投资了100亿美元,计划将这款自然语言聊天机器人嵌入其必应(Bing)搜索引擎、Azure云服务以及其他消费者和商业产品。谷歌有两个大型语言模型,LaMDA有1370亿个参数,PaLM有5400亿个参数。相比之下,OpenAI用于训练ChatGPT的模型GPT-3.5有1750亿个参数。谷歌llm都是围绕自然语言处理设计的,但LaMDA(对话应用语言模型的缩写)已经被证明能够就任何数量的主题进行自由流动的“似乎无穷无尽的”对话。皮采表示,谷歌的产品将从LaMDA开始推广人工智能,但两种模型都将提供,以便“人们可以直接与它们互动”。他说,这“将帮助我们继续获得反馈,测试并安全地改进它们”,这表明chatgpt风格的界面可能即将出现。“人工智能是我们目前正在研究的最深刻的技术,”皮采在周四的公司财报电话会议上说。“我们有才华的研究人员、基础设施和技术,使我们在人工智能达到拐点时处于非常有利的地位。”自2017年以来,他一直在推动谷歌成为一家AI-first公司,当时该公司发布了一个“领域定义”变压器研究项目,并在扩散模型中工作,这些模型构成了包括图像生成工具在内的许多生成式AI应用程序的基础。“将这种技术飞跃转化为产品,帮助数十亿人,是我们公司一直在努力的方向,”皮采说。有报道称,谷歌被ChatGPT的成功打了个措手不及。ChatGPT成为历史上增长最快的消费应用,1月份月活跃用户达到1亿。它在11月底才作为一个研究项目推出,以测试基于对话的人工智能的潜力。作为回应这款聊天机器人成功的计划的一部分,该公司一直在员工身上测试一些功能,并在微软将人工智能嵌入必应之前巩固其作为人工智能驱动公司的地位。这包括一个建立在LaMDA上的名为“学徒吟游诗人”的聊天机器人,并可能重新设计其搜索结果页面以显示人工智能响应。皮采说:“很快,人们就能以实验性和创新性的方式,直接与我们最新、最强大的语言模型互动,作为搜索的伴侣。”目前还不清楚多快,但他表示将在未来几周或几个月内作为测试产品发布,并根据反馈进行再培训。人工智能是Alphabet第四季度收益电话会议的核心焦点,称其为该公司目前正在研究的最“深刻的技术”。目前,来自微软和其他搜索、广告和云领域的公司的压力越来越大。皮采表示,除了消费产品,谷歌还将提供api和开发人员工具,让他们能够使用其人工智能产品和语言模型进行构建,并“使他们能够发现人工智能的新可能性”。这可能会看到LaMDA和PaLM的某些方面通过谷歌Cloud提供,就像微软计划通过其Azure云服务提供多个OpenAI api一样。皮查伊表示,谷歌将提供的工具“在编写、构建和总结方面特别出色”,但由于他认为这些工具还处于“早期”项目,因此扩展速度会缓慢。 皮采说:“我们的人工智能是各种规模的企业和组织的强大推动力,我们还有更多的东西要做。”“这有几种味道。谷歌Cloud正在通过我们的云AI平台向客户提供我们在人工智能方面的技术领先地位,包括为开发人员和数据科学家(如Vertex AI)提供的基础设施和工具。我们还为制造业、生命科学和零售业等行业提供特定的人工智能解决方案,并将继续推出更多解决方案。他表示,谷歌还将把大型语言模型的好处引入Gmail和Docs,以及其Workspace协作工具套件的其他部分,并为广告商提供人工智能研究,以改善活动。谷歌还拥有2014年以4亿英镑收购的英国人工智能公司DeepMind。作为AI-first推动的一部分,DeepMind将进一步被纳入谷歌。它一直在与谷歌的其他人工智能团队密切合作,从2023年第一季度开始,它将被报告为谷歌的一部分,而不是该公司的“其他赌注”部门。Alphabet首席财务官露丝·波拉特(Ruth Porat)在财报电话会议上表示,报告的这一变化“反映了DeepMind支持我们每个部门的战略重点”。她解释说:“只有当其他投注广泛支持谷歌或Alphabet内部的产品和服务时,我们才会将其他投注合并到谷歌。”这之前包括网络安全公司Chronicle被纳入谷歌Cloud。DeepMind也一直在研究自然语言模型,包括2800亿参数的Gopher,重点是对话和自然语言。它还在探索确保其与人类价值观保持一致的方法。作为这一计划的一部分,该公司开发了自己的聊天机器人Sparrow,该机器人经过培训,可以降低不安全和不适当答案的风险,并具有浏览互联网以确认其回答准确的能力。
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