Google AI： Bard(附机翻) 2023.02.06

An important next step on our AI journey

Feb 06, 2023

AI is the most profound technology we are working on today. Whether it’s helping doctors detect diseases earlier or enabling people to access information in their own language, AI helps people, businesses and communities unlock their potential. And it opens up new opportunities that could significantly improve billions of lives. That’s why we re-oriented the company around AI six years ago — and why we see it as the most important way we can deliver on our mission: to organize the world’s information and make it universally accessible and useful.

Since then we’ve continued to make investments in AI across the board, and Google AI and DeepMind are advancing the state of the art. Today, the scale of the largest AI computations is doubling every six months, far outpacing Moore’s Law. At the same time, advanced generative AI and large language models are capturing the imaginations of people around the world. In fact, our Transformer research project and our field-defining paper in 2017, as well as our important advances in diffusion models, are now the basis of many of the generative AI applications you're starting to see today.

Introducing Bard

It’s a really exciting time to be working on these technologies as we translate deep research and breakthroughs into products that truly help people. That’s the journey we’ve been on with large language models. Two years ago we unveiled next-generation language and conversation capabilities powered by our Language Model for Dialogue Applications (or LaMDA for short).

We’ve been working on an experimental conversational AI service, powered by LaMDA, that we’re calling Bard. And today, we’re taking another step forward by opening it up to trusted testers ahead of making it more widely available to the public in the coming weeks.

Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence and creativity of our large language models. It draws on information from the web to provide fresh, high-quality responses. Bard can be an outlet for creativity, and a launchpad for curiosity, helping you to explain new discoveries from NASA’s James Webb Space Telescope to a 9-year-old, or learn more about the best strikers in football right now, and then get drills to build your skills.

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Use Bard to simplify complex topics, like explaining new discoveries from NASA’s James Webb Space Telescope to a 9-year-old.

We’re releasing it initially with our lightweight model version of LaMDA. This much smaller model requires significantly less computing power, enabling us to scale to more users, allowing for more feedback. We’ll combine external feedback with our own internal testing to make sure Bard’s responses meet a high bar for quality, safety and groundedness in real-world information. We’re excited for this phase of testing to help us continue to learn and improve Bard’s quality and speed.

Bringing the benefits of AI into our everyday products

We have a long history of using AI to improve Search for billions of people. BERT, one of our first Transformer models, was revolutionary in understanding the intricacies of human language. Two years ago, we introduced MUM, which is 1,000 times more powerful than BERT and has next-level and multi-lingual understanding of information which can pick out key moments in videos and provide critical information, including crisis support, in more languages.

Now, our newest AI technologies — like LaMDA, PaLM, Imagen and MusicLM — are building on this, creating entirely new ways to engage with information, from language and images to video and audio. We’re working to bring these latest AI advancements into our products, starting with Search.

One of the most exciting opportunities is how AI can deepen our understanding of information and turn it into useful knowledge more efficiently — making it easier for people to get to the heart of what they’re looking for and get things done. When people think of Google, they often think of turning to us for quick factual answers, like “how many keys does a piano have?” But increasingly, people are turning to Google for deeper insights and understanding — like, “is the piano or guitar easier to learn, and how much practice does each need?” Learning about a topic like this can take a lot of effort to figure out what you really need to know, and people often want to explore a diverse range of opinions or perspectives.

AI can be helpful in these moments, synthesizing insights for questions where there’s no one right answer. Soon, you’ll see AI-powered features in Search that distill complex information and multiple perspectives into easy-to-digest formats, so you can quickly understand the big picture and learn more from the web: whether that’s seeking out additional perspectives, like blogs from people who play both piano and guitar, or going deeper on a related topic, like steps to get started as a beginner. These new AI features will begin rolling out on Google Search soon.



When looking for insights, AI features in Search can distill information to help you see the big picture.

Helping developers innovate with AI

Beyond our own products, we think it’s important to make it easy, safe and scalable for others to benefit from these advances by building on top of our best models. Next month, we’ll start onboarding individual developers, creators and enterprises so they can try our Generative Language API, initially powered by LaMDA with a range of models to follow. Over time, we intend to create a suite of tools and APIs that will make it easy for others to build more innovative applications with AI. Having the necessary compute power to build reliable and trustworthy AI systems is also crucial to startups, and we are excited to help scale these efforts through our Google Cloud partnerships with Cohere, C3.ai and Anthropic, which was just announced last week. Stay tuned for more developer details soon.

Bold and responsible

It’s critical that we bring experiences rooted in these models to the world in a bold and responsible way. That’s why we’re committed to developing AI responsibly: In 2018, Google was one of the first companies to publish a set of AI Principles. We continue to provide education and resources for our researchers, partner with governments and external organizations to develop standards and best practices, and work with communities and experts to make AI safe and useful.

Whether it’s applying AI to radically transform our own products or making these powerful tools available to others, we’ll continue to be bold with innovation and responsible in our approach. And it’s just the beginning — more to come in all of these areas in the weeks and months ahead.


人工智能是我们今天研究的最深刻的技术。无论是帮助医生更早地发现疾病，还是让人们能够用自己的语言访问信息，人工智能都有助于人们、企业和社区释放他们的潜力。它开辟了新的机会，可以显著改善数十亿人的生活。这就是为什么我们六年前围绕人工智能重新定位公司——以及为什么我们认为它是我们完成使命的最重要方式：组织世界信息，使其普遍可访问和有用。

从那时起，我们继续全面投资人工智能，谷歌人工智能和DeepMind正在推进最新技术。今天，最大的人工智能计算规模每六个月翻一番，远远超过摩尔定律。与此同时，先进的生成人工智能和大型语言模型正在捕捉世界各地人们的想象力。事实上，我们的变形金刚研究项目和2017年的现场定义论文，以及我们在扩散模型方面的重要进展，现在是您今天开始看到的许多生成人工智能应用程序的基础。

吟游诗人简介

当我们将深入研究和突破转化为真正帮助人们的产品时，这是一个非常令人兴奋的时机。这就是我们使用大型语言模型的旅程。两年前，我们推出了由对话应用程序语言模型（简称LaMDA）支持的下一代语言和对话功能。

我们一直在开发一项由LaMDA提供支持的实验性对话人工智能服务，我们称之为Bard。今天，我们又向前迈进了一步，向值得信赖的测试人员开放，并在未来几周内向公众更广泛地提供它。

巴德试图将世界知识的广度与我们大型语言模型的力量、智慧和创造力相结合。它利用来自网络的信息来提供新鲜、高质量的回复。巴德可以成为创造力的出口，也是好奇心的发射台，帮助您向9岁的孩子解释美国宇航局詹姆斯·韦伯太空望远镜的新发现，或了解更多关于足球界最佳前锋的信息，然后进行练习来培养你的技能。

视频格式不受支持（有个小视频，下面一句是简介）

使用巴德简化复杂的主题，例如向一名9岁的孩子解释美国宇航局詹姆斯·韦伯太空望远镜的新发现。

我们最初用轻量级型号的LaMDA发布它。这个小得多的模型需要的计算能力要少得多，使我们能够扩展到更多的用户，允许更多的反馈。我们将把外部反馈与我们自己的内部测试相结合，以确保Bard的回答符合现实世界信息的质量、安全性和基础性。我们对这一阶段的测试感到兴奋，以帮助我们继续学习和提高Bard的质量和速度。

将人工智能的好处带入我们的日常产品

我们在使用人工智能来改善数十亿人的搜索方面有着悠久的历史。BERT是我们最早的变形金刚模型之一，在理解人类语言的复杂性方面具有革命性。两年前，我们推出了MUM，它比BERT强大1000倍，对信息有更高级别和多语言的理解，可以挑选视频中的关键时刻，并以更多语言提供关键信息，包括危机支持。

现在，我们最新的人工智能技术——如LaMDA、PaLM、Imagen和MusicLM——正在在此基础上再接再厉，创造出全新的信息方式，从语言和图像到视频和音频。我们正在努力将这些最新的人工智能进步引入我们的产品，从搜索开始。

最令人兴奋的机会之一是人工智能如何加深我们对信息的理解，并更有效地将其转化为有用的知识——让人们更容易找到他们正在寻找的核心并完成事情。当人们想到谷歌时，他们经常想到向我们寻求快速的事实答案，比如“一架钢琴有多少把钥匙？”但是，人们越来越多地转向谷歌寻求更深入的见解和理解——比如，“钢琴或吉他更容易学习吗，每个人需要多少练习？”了解这样的主题可能需要付出很多努力才能弄清楚你真正需要知道什么，人们通常想探索各种各样的观点或观点。

在这些时刻，人工智能可以提供帮助，综合对没有正确答案的问题的见解。很快，您将在搜索中看到人工智能驱动的功能，这些功能将复杂的信息和多种视角提炼成易于消化的格式，因此您可以快速了解大局，并从网络中了解更多信息：无论是寻找其他视角，例如同时弹钢琴和吉他的人的博客，还是更深入地讨论相关主题，例如初学者入门的步骤。这些新的人工智能功能将很快在谷歌搜索上推出。

在寻找见解时，搜索中的人工智能功能可以提炼信息，帮助您看到大局。

帮助开发人员通过人工智能进行创新

除了我们自己的产品外，我们认为通过建立在我们最好的模型之上，让其他人从这些进步中受益变得简单、安全和可扩展非常重要。下个月，我们将开始让个人开发人员、创作者和企业入职，以便他们可以尝试我们的生成语言API，该API最初由LaMDA提供支持，并遵循一系列模型。随着时间的推移，我们打算创建一套工具和API，使其他人能够轻松地使用人工智能构建更具创新性的应用程序。拥有必要的计算能力来构建可靠和值得信赖的人工智能系统对初创企业也至关重要，我们很高兴通过上周刚刚宣布的与Cohere、C3.ai和Anthropic的谷歌云伙伴关系来帮助扩大这些努力。请尽快关注更多开发人员的详细信息。

大胆而负责任

至关重要的是，我们要以大胆和负责任的方式将植根于这些模型的经验带到世界。这就是为什么我们致力于负责任地开发人工智能：2018年，谷歌是首批发布一套人工智能原则的公司之一。我们继续为我们的研究人员提供教育和资源，与政府和外部组织合作制定标准和最佳实践，并与社区和专家合作，使人工智能安全实用。

无论是应用人工智能从根本上改变我们自己的产品，还是向他人提供这些强大的工具，我们都会继续大胆创新，并在方法上负责任。这只是开始——在未来几周和几个月里，所有这些领域都会有更多。