跟读练习: Gemma 4 Just Released - Whats In? In 2026! - 通过视频学习英语口语
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28 句
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A 2 billion parameter AI model, running on a Raspberry Pi with 1 .5 GB of RAM, and it can see, hear and think in 140 languages,
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this is Gemma 4.
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Google just open sourced their most capable small model family ever.
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Gemma 4 is built on the same architecture as Gemini 3, but packaged into size that actually fit on your hardware.
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There are four variants.
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The E2B model uses around 2 billion parameters at inference.
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The E4B steps up to 4 billion.
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Then there's a 26 billion mixture of experts model and a 31 billion dense model.
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All of them are released under Apache 2 .0, which means fully commercial use, no royalties, no strings attached.
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What makes Gemma 4 different from previous small models is what it can actually do.
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All four variants natively process images and video, with built -in OCR and chart understanding.
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The two smaller models also handle audio input, meaning speech recognition runs directly on device.
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And every model works across over 140 languages out of the box.
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Context windows go up to 128k tokens on the smaller models and 256k on the larger ones.
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That's a huge amount of context for something that fits on a single GPU.
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But the real story here is a Gentic AI on the edge.
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Jammer 4 has native function calling and structured JSON output built in, no fine -tuning needed.
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You can build multi -step AI agents that plan, execute and adapt, all running locally on a phone, laptop or even a Raspberry Pi.
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No cloud dependency, no API costs, no data leaving your device.
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It runs on iOS, Android, Windows, Linux and even in the browser through WebGPU.
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And the performance backs it up.
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The 31 billion parameter model ranked number 3 on the ARENA AI leaderboard, among all open models worldwide.
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The Gemma model family has already been downloaded over 400 million times with over 100 ,000 community variants.
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Google just made frontier -level AI something you can download, run at home and build real products with.
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No cluster required.
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One GPU.
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Apache 2.
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This changes everything for Edge AI.
FOR YOU
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本课的词汇与口语要点
这段视频共有 28 个句子、336 个单词可供跟读。 讲话部分时长为 2:13。 说话人语速自然，每分钟约 151 个词，接近日常对话。 只有 74% 的单词属于英语最常用的 3,000 词，词汇难度较高。
视频中的重点词汇
视频中 15 个值得学习的单词，附发音和释义：
| 单词 | 发音 | 释义 |
|---|---|---|
| variant 名词 | /ˈvæɹi.ənt/ | 變體 /变体, 異體 /异体 |
| parameter 名词 | /pəˈɹæm.ə.tɚ/ | 參數 /参数, 參量 /参量 |
| audio 形容词 | /ˈɔ.di.oʊ/ | 音頻 /音频, 伴音 |
| chart 名词 | /t͡ʃɑɹt/ | 圖表 /图表 |
| recognition 名词 | /ˌɹɛkəɡˈnɪʃ(ə)n/ | 認出 /认出 |
| cloud 名词 | /ˈklaʊ̯d/ | йүн, 雲 /云 |
| package 名词 | /ˈpæk.ɪd͡ʒ/ | 包裹, 包 |
| output 名词 | /ˈaʊtpʊt/ | 輸出 /输出 |
| architecture 名词 | /ˈɑː.kɪˌtɛk.t͡ʃə/ | 建築 /建筑, 建築學 /建筑学 |
| string 名词 | /stɹɪŋ/ | 線 /线 |
| input 名词 | /ˈɪnpʊt/ | 輸入 /输入 |
| hardware 名词 | /ˈhɑɹdˌwɛɹ/ | 硬件, 硬體 /硬体 |
| tune 名词 | /tjuːn/ | 曲調 /曲调, 曲子 |
| laptop 名词 | /ˈlæp.tɑp/ | 手提電腦 /手提电脑, 手提計算機 /手提计算机 |
| mixture 名词 | /ˈmɪkst͡ʃɚ/ | 混合 |
需要注意的发音
- 长单词——注意重音位置: parameter /pəˈɹæm.ə.tɚ/, recognition /ˌɹɛkəɡˈnɪʃ(ə)n/, architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, dependency /dɪˈpɛndənsi/
如何用这段视频练习
- 先完整听一遍视频，不要开口，记下不认识的单词。
- 先用 0.75 倍速逐句跟读，熟练之后再回到正常速度。
- 录下自己的声音并与原声对比，特别注意 variant, parameter, audio 这类单词。
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。