跟读练习: Chủ tịch Nvidia nói gì về sự phát triển mới của AI trong bài phát biểu tại Đài Loan? - 通过视频学习英语口语

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Welcome to the channel AI TechTag STT.
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Today, we will continue to introduce you to the video of Yensen Huang,
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CEO of Nvidia, about the steps to the development of the AI TechTag STT.
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Let's start with some interesting information that Yensen Huang has shared in the war of the technology.
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Jensen Huang said that Fuda has reached a point that he calls the artist to be found, but even more than that, Fuda has reached a point of development.
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This is not possible for the history of the computer.
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With CPU, the data has been in the 60 years and has not changed.
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In that case, the data is a new one, but the new one is very difficult to build the environment
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because it is not possible to deal with the problem with the problem of the chicken and the chicken.
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CUDA has been broken into 20 years, with a private and private sector and a top-up group,
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creating a community that is very powerful with more than 5 million employees in the world.
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VDA helps all the business, from health, health, technology, machine, machine, to auto and other fields.
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The development of VDA has helped the companies and the companies to build the companies in the VDA,
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to create a lot of opportunities and a large number of companies.
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Every time VDA is up to the use, the cost of tính toán is low.
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He is not an answer.
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He has been writing that the cost of 100 times can be expected to 98% of the cost.
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The cost of 100 times to 200 times and 1,000 times, the cost of the cost of the tính toán is low.
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This will lead to the development, science and manufacturing process and more of the development of the market.
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These are the tools that are used to the use of the computer and software.
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One of the examples of AI is App 2, a project full of pride in the video to create a map of the Earth.
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App 2 will help us to calculate and calculate the future of the universe, help to understand the future and understand the future.
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He told us that Up 2 will allow us to predict the future in the universe of the universe, because of the human intelligence to help the universe.
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One special point in the video is that Jensen Huang The video is not because he is done directly, but because he is done by a Jensen AI,
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a machine of his own AI.
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This is to prove the development of AI technology that is being directed at.
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The year 2012 is a important year for VDA
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when the research team discovered the ability of VDA in the field of AI.
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VDA has worked with the science science to develop the show and from that, VDA has changed the GPU to help us to help us.
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They have developed the technology like Tensocore, V-Link and many other software and other software, and created a machine AI first called GGX,
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which is one of the first companies that use.
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Since 2016, VDA has continued to open wide and more and more and more.
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The opening is that in the 11th of 2022, OpenEye has been able to train on several thousand GPUs.
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VDA has reached 100 million people only after 5 days and 100 million people only after 2 months, as a development of the most in the history of the world.
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The ability to interact with the machine is a big difference in the language language.
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The video has been very large in this development and they will continue to boost the progress of the future.
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Thank you for watching.
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Don't forget to subscribe to our channel and don't forget to leave the video next to us.
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See you in the next video.
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See you again.
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Thank you.

关于本课

在本课中，学习者将通过收听并跟随Nvidia首席执行官黄仁勋的讲话，提升他们的口语表达能力和听力理解能力。通过关注他在台湾的讲话内容，学习者将能够练习与人工智能相关的专业词汇和短语，并在了解最新科技发展的同时，提升自己的英语水平。这对雅思口语练习的准备也非常有帮助。

核心词汇与短语

  • 艺术家（artist） - 在技术领域内指代对某种技术具有创意和控制力的人。
  • 计算（计算/计算硬件） - 在计算机科学中的一种基础活动，涉及数据的处理和分析。
  • 开发（development） - 指在技术或产品领域不断优化和进步的过程。
  • 社区（community） - 各种人士和专业人员为了共同目标而聚集的团体。
  • 预测（predict） - 基于现有数据来推测未来的发展趋势。
  • 能力（ability） - 指个体或系统执行特定任务的技能或力量。
  • 机器（machine） - 任何自动化的系统，通常用于进行计算或执行其他功能。
  • 工具（tools） - 用于帮助完成特定工作或提高效率的设备或软件。

练习技巧

在进行声音模拟训练（shadow speech）时，可以尝试如下技巧，以更好地跟随黄仁勋的讲话语速和语调：

  • 首先，集中注意力听一遍视频，理解讲话的整体内容，无需急于模仿。
  • 然后，选择短语进行重复，特别是技术性较强的词汇，尝试找出其在句子中的语调变化。
  • 学会分段练习，将讲话分成几个部分，逐段模仿，并确保每个部分的语速与原视频保持一致。
  • 关注他的语气与情感表达，尝试用同样的语调进行发声，这将有助于提升口语的自然性。
  • 利用“shadowing site”上的功能，边听边说，确保能同时看到文本内容和声音，从而提高学习效率。

通过有效的shadow speak和shadowing练习，学习者将能够更自信地使用英语进行交流，特别是在涉及科技和创新的领域。

什么是跟读法？

跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。