尝试Google Bard并对比OpenAI ChatGPT,一个擅长创造性,一个擅长事实查询?

文章目录

  • 尝试Google Bard并对比OpenAI ChatGPT,一个擅长创造性,一个擅长事实查询?
    • Google Bard 的自我介绍
    • Google Bard 暂时不支持中文
    • Google Bard除了支持英语外,还支持日语
    • Google Bard和OpenAI ChatGPT的对比
      • Google Bard的回答
      • OpenAI ChatGPT的回答
    • 个人小结
    • 参考 Bard FAQ (20230518时点)
      • What’s Bard all about?
      • Does Bard give accurate and safe responses?
      • How and when does Bard cite sources in its responses?
      • Is Bard able to explain how it works?
      • Can Bard help with coding?
      • Why doesn’t Bard know what I said earlier in a conversation?
      • What are Google’s principles for AI innovation?
      • How can I help make Bard better?
      • Who can use Bard?
      • How many languages does Bard speak?
      • What terms of service apply to my Bard usage?
      • What data is collected? How is it used?

尝试Google Bard并对比OpenAI ChatGPT,一个擅长创造性,一个擅长事实查询?

通过gmail账号就可以直接登录Google Bard进行对话。(当然需要科学上网)

网址:
https://bard.google.com/
在这里插入图片描述

Google Bard 的自我介绍

首先我们看看Google Bard的自我介绍。
在这里插入图片描述

Google Bard 暂时不支持中文

从测试来看Google Bard 并不支持中文。
在这里插入图片描述

Google Bard除了支持英语外,还支持日语

Google Bard虽然目前支持语言有限,但已经支持日语。
在这里插入图片描述

从Bard FAQ可以看到bard 支持英语,日语和韩语。

How many languages does Bard speak? Right now, Bard is available in US
English, Japanese and Korean, and we are teaching Bard to speak as
many languages as possible.

Google Bard和OpenAI ChatGPT的对比

让我们看看bard怎么介绍Bard和ChatGPT的异同,想看看两个模型自己怎么说。

Google Bard的回答

在这里插入图片描述

下面是来自Bard的回答:
ChatGPT and I are both large language models, but we have some key differences. ChatGPT is a generative pre-trained transformer model developed by OpenAI, while I am a factual language model developed by Google AI. This means that I am better at understanding and responding to factual queries, while ChatGPT is better at generating creative text formats, like poems, code, scripts, musical pieces, email, letters, etc. Additionally, I am still under development, while ChatGPT is a more mature product. This means that I may be more prone to errors, but I am also learning new things all the time.
ChatGPT和我都是大型语言模型,但我们有一些关键的区别。ChatGPT是一个由OpenAI开发的生成性预训练转换器模型,而我是谷歌AI开发的事实语言模型。这意味着我更善于理解和响应事实查询,而ChatGPT更善于生成创造性的文本格式,如诗歌、代码、脚本、音乐作品、电子邮件、信件等。此外,我仍在开发中,而ChatGPT是一种更成熟的产品。这意味着我可能更容易出错,但我也一直在学习新东西。

Here is a table that summarizes the key differences between ChatGPT and me:
以下表格总结了我和ChatGPT之间的主要差异:

FeatureChatGPTBard
Model typeGenerative pre-trained transformerFactual language model
StrengthsCreative text generationFactual understanding and response
WeaknessesMay be prone to errorsLess mature product
StatusReleasedUnder development

Ultimately, the best language model for you will depend on your specific needs. If you are looking for a model that can generate creative text formats, then ChatGPT is a good option. If you are looking for a model that can understand and respond to factual queries, then I am a good option.
最后,最适合您的语言模型将取决于您的具体需求。如果你正在寻找一个可以生成创造性文本格式的模型,那么ChatGPT是一个不错的选择。如果你正在寻找一个能够理解和回应事实查询的模型,那么我是一个很好的选择。

下面是日语的回答:在这里插入图片描述从上面的

功能ChatGPTBard
模型生成式预训练转换模型(Generative pre-trained transformer)事实性语言模型(Factual language model)
优点创造性文本生成(Creative text generation)事实理解和回应(Factual understanding and response)
缺陷可能容易出错(May be prone to errors)不太成熟的产品(Less mature product)
状态已发布(Released)开发中(Under development)

OpenAI ChatGPT的回答

ChatGPT(GPT 3.5)的回答:
在这里插入图片描述

以下是Google Bard和OpenAI ChatGPT的异同点列表:

类别Google BardOpenAI ChatGPT
模型架构自主开发的GP-2模型,使用文学作品进行训练采用Transformers架构,在大量语料库上进行预训练
领域覆盖以诗歌为主要生成领域以对话为主要生成领域
目标用户文学爱好者、创作者虚拟客服、在线问答等实用工具
公平性和透明度未明确提及在模型开发过程中重视,并进行多种处理和约束

在模型架构方面,Google Bard是自主开发的GP-2模型,并在特定训练任务中使用了大量的文学作品进行训练。OpenAI ChatGPT则采用了Transformers架构,使用了更大规模的语料库完成了预训练。

在领域覆盖方面,Google Bard的生成重点是诗歌,而OpenAI ChatGPT则更关注对话生成。

在目标用户方面,Google Bard更适合文学爱好者或创作者,可以被用来创建有趣的文学作品或进行文学创作的灵感启发;而OpenAI ChatGPT则更适合虚拟客服、在线问答和实用工具等方面的需求。

在公平性和透明度方面,OpenAI ChatGPT在模型开发过程中重视,并进行多种处理和约束,以防止模型的负面影响,而Google Bard并未明确关注这种问题。

个人小结

看了上面的内容,好像都很有道理,但好像都有点儿问题。

参考 Bard FAQ (20230518时点)

What’s Bard all about?

We’ve long seen the potential to make information and computing much more accessible through conversational AI. Two years ago, we unveiled LaMDA (Language Model for Dialogue Applications)Opens in a new window, a conversational AI model capable of fluid, multi-turn dialogue, and last year, we launched the AI Test KitchenOpens in a new window, a new space where people could learn about, get hands-on experience with, and provide feedback on LaMDA.

Bard is an experiment based on this same technology that lets you collaborate with generative AI. As a creative and helpful collaborator, Bard can supercharge your imagination, boost your productivity, and help you bring your ideas to life—whether you want help planning the perfect birthday party and drafting the invitation, creating a pro & con list for a big decision, or understanding really complex topics simply.

If you’re interested in the more technical details, LaMDA is a Transformer-based model, the machine-learning breakthrough invented by Google in 2017Opens in a new window. The language model learns by “reading” trillions of words that help it pick up on patterns that make up human language so it’s good at predicting what might be reasonable responses.

Does Bard give accurate and safe responses?

Bard is experimental, and some of the responses may be inaccurate, so double-check information in Bard’s responses. With your feedback, Bard is getting better every day. Before Bard launched publicly, thousands of testers were involved to provide feedback to help Bard improve its quality, safety, and accuracy.

Accelerating people’s ideas with generative AI is truly exciting, but it’s still early days, and Bard is an experiment. While Bard has built-in safety controls and clear mechanisms for feedback in line with our AI PrinciplesOpens in a new window, be aware that it may display inaccurate information or offensive statements.

How and when does Bard cite sources in its responses?

Bard, like some other standalone LLM experiences, is intended to generate original content and not replicate existing content at length. We’ve designed our systems to limit the chances of this occurring, and we will continue to improve how these systems function. If Bard does directly quote at length from a webpage, it cites that page.

Sometimes the same content may be found on multiple webpages and Bard attempts to point to a popular source. In the case of citations to code repositories, the citation may also reference an applicable open source license.

Bard was built to be a creative and helpful collaborator—it works well in creative tasks like helping you write an email or brainstorm ideas for a birthday party. We see it as a complementary experience to Google Search. That’s why we added the “Google It” button to Bard, so people can easily move from Bard to explore information from across the web.

Bard is an experiment, and we’ll use its launch as an opportunity to learn, iterate, and improve the experience as we get feedback from a range of stakeholders including people like you, publishers, creators, and more.

Is Bard able to explain how it works?

LLM experiences (Bard included) can hallucinate and present inaccurate information as factual. One example is that Bard often misrepresents how it works. We’ve seen this occur in a number of instances—for example, in response to prompts asking how it was trained or how it carries out various functions (like citing sources, or providing fresh information).

Bard responses may also occasionally claim that it uses personal information from Gmail or other private apps and services. That’s not accurate, and as an LLM interface, Bard does not have the ability to determine these facts. We do not use personal data from your Gmail or other private apps and services to improve Bard. More information about how we keep your data private, safe, and secure can be found in the Google Privacy PolicyOpens in a new window.

These are some of the reasons we released Bard as an experiment and want to be as transparent as possible about the limitations of LLMs, including providing disclaimers within the Bard experience. If you see a hallucination or something that isn’t accurate, please click the thumbs down button and provide your feedback. That’s one of the ways Bard will learn and improve.

Can Bard help with coding?

Yes, Bard can help with coding and topics about coding, but Bard is still experimental and you are responsible for your use of code or coding explanations. So you should use discretion and carefully test and review all code for errors, bugs, and vulnerabilities before relying on it. Code may also be subject to an open source license and Bard provides related information. Read more about how and when Bard cites sources.

Why doesn’t Bard know what I said earlier in a conversation?

Bard’s ability to hold context is purposefully limited for now. As Bard continues to learn, its ability to hold context during longer conversations will improve.

What are Google’s principles for AI innovation?

Google aspires to create technologies that solve important problems and help people in their daily lives. We are optimistic about the incredible potential for AI and other advanced technologies to empower people, widely benefit current and future generations, and work for the common good. We believe that these technologies will promote innovation and further our mission to organize the world’s information and make it universally accessible and useful.

These same technologies also raise important challenges that need to be addressed clearly, thoughtfully, and affirmatively. These AI PrinciplesOpens in a new window are a commitment to develop technology responsibly. Learn more about AI principles at Google

How can I help make Bard better?

One important part of developing responsibly is expanding participation, so more people can experience Bard, provide feedback, and help Bard improve. You can rate responses as good or bad and send feedback each time Bard responds.

Who can use Bard?

To use Bard, you must be 18 or over. You also need a personal Google Account that you manage on your own, or a Google Workspace account for which your admin enabled access to Bard. If you’re a Google Workspace admin, learn how to enable accessOpens in a new window.

You can’t access Bard with a Google Account managed by Family Link or with a Google Workspace for Education account designated as under the age of 18.

Right now, Bard may not be available in your country, but we will be rolling out to new languages and countries over time.

How many languages does Bard speak?

Right now, Bard is available in US English, Japanese and Korean, and we are teaching Bard to speak as many languages as possible.

What terms of service apply to my Bard usage?

Your use of Bard is subject to the Google Terms of ServiceOpens in a new window and the Generative AI Additional Terms of ServiceOpens in a new window. Keep in mind if you export conversations from Bard, the terms & policies of the service you export to will apply to the copy.

What data is collected? How is it used?

When you interact with Bard, Google collects your conversations, your general location based on your IP address (learn moreOpens in a new window), your feedback, and usage information. That data helps us provide, improve and develop Google products, services, and machine-learning technologies, as explained in the Google Privacy PolicyOpens in a new window. For example, we use your feedback to increase the effectiveness of the Bard safety policies and help minimize some of the challenges inherent to large language models. And Bard uses your past interactions with it and your general location to generate its response.

Google has a standardized and rigorous review process for improving Bard, which includes review of conversations reported as being low quality. This helps us identify common types of problematic responses and how Bard might improve.

Read our Privacy and Security PrinciplesOpens in a new window to better understand how we keep our users’ data private, safe, and secure.

本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如若转载,请注明出处:http://www.rhkb.cn/news/14007.html

如若内容造成侵权/违法违规/事实不符,请联系长河编程网进行投诉反馈email:809451989@qq.com,一经查实,立即删除!

相关文章

chatgpt赋能python:Python控制循环次数详解:多种方法实现

Python控制循环次数详解:多种方法实现 在Python编程中,循环是非常常见的操作。有时候,我们需要控制循环次数来确保程序正常运行并避免无限循环。本文将介绍Python中多种控制循环次数的方法。 1. for循环控制循环次数 for循环是最常见的循环…

奇舞周刊478期:算法工程师深度解构 ChatGPT 技术

记得点击文章末尾的“ 阅读原文 ”查看哟~ 下面先一起看下本期周刊 摘要 吧~ 奇舞推荐 ■ ■ ■ 算法工程师深度解构 ChatGPT 技术 本文用专业视野带你由浅入深了解 ChatGPT 技术全貌。它经历了什么训练过程?成功关键技术是什么?将如何带动行业的变革&am…

联网之后的ChatGPT,已经远不止“iPhone时刻”那么简单

文| Juny 编辑| VickyXiao 从默默无闻到颠覆整个互联网需要多久?OpenAI告诉你,四个月。 自从去年11月ChatGPT正式发布以来,OpenAI团队更新AI产品和技术的速度快到已经突破了人们的想象。就在上周刚刚宣布推出能力更强大的GPT-4之后&#xf…

python版电报API接入从零到一(有彩蛋)

文章链接 编号分类文章及链接介绍作者来源分类撰写日期收录日期F1框架python版telegram接入开源botpython-telegram-botGithub2023-04-24 申明:本文仅作试验研究用,不对参考本文操作产生的各种结果承担任何责任。 Q&A 使用Telegram的API需要交费吗…

chatgpt赋能python:使用Python来进行抢购,如何轻松秒杀商品

使用Python来进行抢购,如何轻松秒杀商品 在现代社会,大量的人们使用电商平台来完成他们的购物需求。然而,在疯狂的购物节日时,例如"双11",商品往往会被抢购一空。为此,许多人希望能够使用自动化…

谷歌借力AlphaGo造大模型,称其秒杀ChatGPT!

整理 | 朱珂欣 出品 | CSDN(ID:CSDNnews) 在 GPT 战场上,谷歌的口令向来是:「咱不能输」。 虽然 Bard 曾在首秀时闹出大乌龙,但谷歌如今还手握 DeepMind 这张牌。 听闻这一次,带着杀手锏出击…

chatgpt赋能python:Python如何访问网页

Python如何访问网页 Python是一种被广泛用于web开发、数据科学和人工智能的编程语言。但是,你知道Python还可以用于访问网页吗?在本文中,我们将介绍Python如何访问网页,帮助您了解Python的这一方面,并掌握它的实际应用…

ChatGPT访问量再创新高:百度的60%,谷歌的2%

点击上方“视学算法”,选择加"星标"或“置顶” 重磅干货,第一时间送达 梦晨 发自 凹非寺量子位 | 公众号 QbitAI ChatGPT上月全球访问量 17.6 亿次,已达到谷歌的2%! 根据SimilarWeb统计,已超越必应、鸭鸭走D…

chatgpt赋能python:Python如何访问文件

Python如何访问文件 Python是一种优秀的编程语言,被广泛应用于各种领域,包括文件处理。在Python中,我们可以使用内置的文件处理功能访问文件。 什么是文件? 文件是计算机系统中的一种数据存储形式。它们可以包含任何类型的信息…

李彦宏:文心大模型 3.5 版本推理速度提升 17 倍;ChatGPT 访问量增速大降;Linux 6.4 发布|极客头条

「极客头条」—— 技术人员的新闻圈! CSDN 的读者朋友们早上好哇,「极客头条」来啦,快来看今天都有哪些值得我们技术人关注的重要新闻吧。 整理 | 梦依丹 出品 | CSDN(ID:CSDNnews) 一分钟速览新闻点&…

让chatgpt访问2021年之后的数据信息

场景: chatgpt无法获得2021年之后的信息 方法 下载插件webchatgpt

ChatGPT访问量17.6 亿次,再创新高!百度,Google搜索引擎压力巨大~

梦晨 发自 凹非寺量子位 | 公众号 QbitAI ChatGPT上月全球访问量 17.6 亿次,已达到谷歌的2%! 根据SimilarWeb统计,已超越必应、鸭鸭走DuckDuckGo等其他国际搜索引擎。 挡在前面的除了谷歌,就只剩中国的百度和俄罗斯的Yandex了。 如…

教程 | 如何让ChatGPT 访问多个网址并进行分析总结?

我们常常会碰到多份文件互相引用纷繁复杂、若要手工逐一进行归纳、分析、想要找出规律是一件非常困难的事情,WebPilot这一插件就能较好地解决这一难题,本教程将介绍如何利用ChatGPT访问多个URL,从而对生成的内容进行总结与分析。 首先登陆您…

谁能实现商业化成功落地,谁就可能在“百模大战”中获胜|数据猿直播干货分享...

‍数据智能产业创新服务媒体 ——聚焦数智 改变商业 自2022年底以来,AIGC火爆出圈,尤其是OpenAI发布的ChatGPT,将人机对话推向了新高度,一时间,围绕大模型的新闻、话题、争论甚嚣尘上。对中国企业来说,“打…

谷歌AI练习生写了首歌,网友听完心率都低了

杨净 衡宇 发自 凹非寺量子位 | 公众号 QbitAI 一段话整出一首歌,甚至是男女唱(跳)rap的那种。 谷歌最新模型MusicLM一经推出就惊艳四座,不少网友惊呼:这是迄今听到最好的谱曲。 它可以根据文本生成任何类型的音乐&…

对话出门问问李志飞:GPT-3 是「暴力美学」的一次胜利

一项在科学家眼中超越 AlphaGo 的技术突破,让人类真切看到了通用语言智能的希望。 今年 6 月,特斯拉创始人 Elon Musk 创立的非盈利性 AI 科研机构 OpenAI 发布了一个名为 GPT-3 的语言模型,堪称具有划时代意义的重大科研突破。近日&#xff…

让ChatGPT设计一个Patch天线

目录 前言1. ChatGPT设计的Patch天线2. 仿真验证3. 设计对比关注“电磁学社”,让电磁仿真不再复杂! 前言 这段时间ChatGPT火了,它的出现把人工智能的应用带入更丰富的场景。今天让它设计一个简单的微带贴片天线,看看能否满足设计…

Excel VBA高级编程-微信群发消息工具

大家好,我是陈小虾,是一名自动化方向的IT民工。写博客是为了记录自己的学习过程,通过不断输出倒逼自己加速成长。功能说明:由于水平有限,博客中难免会出现一些BUG,或者有更优方案恳请各位大佬不吝赐教&…

ChatGpt接入Word文档,让你秒变职场达人!

今天跟大家分享下我们如何使用VBA代码,将ChatGpt接入Word文档,操作非常的简单,但是开始之前我们需要做2项准备 1. 获取ChatGpt的API 2. 魔法上网 准备好这2件事后,我们就可以着手制作了: 一,设置代码 二&…

Excel VBA编程

文章目录 如何创建VBAVBA语法规则声明变量给变量赋值让变量存储的数据参与运算关于声明变量的其他知识变量的作用域特殊的变量——数组声明多维数组声明动态数组其他创建数组的方法数组函数利用UBound求数组的最大索引号利用LBound函数求最小索引号求多维数组的最大和最小索引号…