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    ML

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    A2 初級
    n.名詞毫升
    Your brother needs to drink 5 ml of medicine every six hours

    影片字幕

    烈酒的標準飲用方式是什麼? (What are the standard serves of spirits)

    03:00烈酒的標準飲用方式是什麼? (What are the standard serves of spirits)
    • and also must deliver fixed quantities of 15 ml, 30 ml, or 60 ml.

      倒入烈性酒,直至半月板與搖酒器頂部持平或達到柱狀線。3.

    • and also must deliver fixed quantities of 15 ml, 30 ml, or 60 ml.

      倒入烈性酒,直至半月板與搖酒器頂部持平或達到柱狀線。3.

    B2 中高級

    艾瑪·華森特調「艾瑪噴泉」!製作經典義式濃縮馬丁尼、3款雞尾酒教學🍹 (Emma Watson Makes An Espresso Martini, ‘Emma Spritz’ & 3 Other Classic Cocktails)

    11:16艾瑪·華森特調「艾瑪噴泉」!製作經典義式濃縮馬丁尼、3款雞尾酒教學🍹 (Emma Watson Makes An Espresso Martini, ‘Emma Spritz’ & 3 Other Classic Cocktails)
    • It's a tiny bit of salt and a little bit of the cacao syrup, 25 ml.

      這是一點點鹽和一點點可可糖漿。

    B2 中高級

    #我的奇怪室友 (Hashtags: #MyWeirdRoommate)

    06:52#我的奇怪室友 (Hashtags: #MyWeirdRoommate)
    • ML?

      -那就是... ...減去50。

    B1 中級

    韓式泡菜神級食譜!跟著做保證好吃! (Kimchi Recipe 韓國泡菜)

    06:28韓式泡菜神級食譜!跟著做保證好吃! (Kimchi Recipe 韓國泡菜)
    • Mix 2 liters of water with 350 ml of salt.

      你很硬。

    • Mix 2 liter of water with 350 ml of salt.

      把350毫升的鹽加入2公升的水里。

    B2 中高級

    範疇論 1.1:動機與哲學! (Category Theory 1.1: Motivation and Philosophy)

    46:46範疇論 1.1:動機與哲學! (Category Theory 1.1: Motivation and Philosophy)
    • functional programming, above ML,

      在函數式編程之上,在ML

    • So there category theory is this higher-level language above Haskell, above functional pro-programming, above ML, uh, Haskell, uh, Scala, and

      因為他們是非常一般性的點子

    B1 中級

    Transformer 模型大解密!瞭解 GPT、BERT 和 T5 的核心技術! (Transformers, explained: Understand the model behind GPT, BERT, and T5)

    09:11Transformer 模型大解密!瞭解 GPT、BERT 和 T5 的核心技術! (Transformers, explained: Understand the model behind GPT, BERT, and T5)
    • If you've heard of the trendy new ML models BERT or GPT-3 or T5, all of these models are based on transformers.

      如果您聽說過時髦的新型 ML 型號 BERT 或 GPT-3 或 T5,那麼所有這些型號都是基於變壓器的。

    • If you've heard of the trendy new ML models BERT or GPT-3 or T5, all of these models are based on transformers.

      如果您聽說過時髦的新型 ML 型號 BERT 或 GPT-3 或 T5,那麼所有這些型號都是基於變壓器的。

    B1 中級

    生成式AI入門教學! (Introduction to Generative AI)

    22:08生成式AI入門教學! (Introduction to Generative AI)
    • Two of the most common classes of machine learning models are unsupervised and supervised ML models.

      最常見的兩類機器學習模型是無監督和有監督 ML 模型。

    • Two of the most common classes of machine learning models are unsupervised and supervised ML models.

      無標籤數據是指沒有標籤的數據。

    B1 中級

    大型語言模型入門教學! (Introduction to large language models)

    15:46大型語言模型入門教學! (Introduction to large language models)
    • In ML, parameters are often called hyperparameters.

      在 ML 中,參數通常被稱為超參數。

    • In ML, parameters are often called hyperparameters.

      產生這一想法有兩個原因。

    B1 中級

    用魔法對付魔法!全球最有名外遇 CEO 公司 Astronomer 找來 Coldplay 主唱前妻「小辣椒」滅火! (Thank you for your interest in Astronomer)

    01:01用魔法對付魔法!全球最有名外遇 CEO 公司 Astronomer 找來 Coldplay 主唱前妻「小辣椒」滅火! (Thank you for your interest in Astronomer)
    • Yes, Astronomer is the best place to run Apache Airflow, unifying the experience of running data, ML, and AI pipelines at scale.

      是的,Astronomer 是運行 Apache Airflow 的最佳場所,它統一了大規模運行數據、ML 和 AI 管道的體驗。

    • Yes, Astronomer is the best place to run Apache Airflow, unifying the experience of running data, ML, and

      是的,Astronomer 是運行 Apache Airflow 的最佳場所,它統一了大規模運行數據、ML 和 AI 管道的體驗。

    B2 中高級

    Jerry Liu (LlamaIndex):打造真正自動化知識工作的 AI Agent! (Building AI Agents that actually automate Knowledge Work - Jerry Liu, LlamaIndex)

    17:57Jerry Liu (LlamaIndex):打造真正自動化知識工作的 AI Agent! (Building AI Agents that actually automate Knowledge Work - Jerry Liu, LlamaIndex)
    • If in contrast to more traditional techniques where you use kind of like hand-tuned and task-specific ML models to achieve kind of like document parsing over a specific class of documents, LLMs actually have a much general layer of accuracy that you can use to your advantage in just like understanding and inhaling any type of document with any type of complexity.

      與傳統技術相比,在傳統技術中,你需要使用經過人工調整的、針對特定任務的 ML 模型來實現對特定類別文檔的解析,而 LLM 實際上具有更廣泛的準確性,你可以利用它的優勢來理解和吸入任何類型、任何複雜程度的文檔。

    • Um, if, uh, in contrast to more traditional techniques where you use kind of like hand-tuned and task-specific ML models to achieve, uh, kind of like document parsing over a specific class of documents, LLMs actually have a much general layer of accuracy, um, that you can use to your advantage in just like understanding and inhaling any type of document with, uh, any type of complexity.

      但法學碩士們一直沒有解決這個問題。

    B2 中高級