Buckets:
| <meta charset="utf-8" /><meta name="hf:doc:metadata" content="{"title":"Глоссарий","local":"глоссарий","sections":[{"title":"Сокращения","local":"сокращения","sections":[],"depth":2},{"title":"Notes","local":"notes","sections":[],"depth":2}],"depth":1}"> | |
| <link href="/docs/course/pr_1044/ru/_app/immutable/assets/0.e3b0c442.css" rel="modulepreload"> | |
| <link rel="modulepreload" href="/docs/course/pr_1044/ru/_app/immutable/entry/start.64542123.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1044/ru/_app/immutable/chunks/scheduler.37c15a92.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1044/ru/_app/immutable/chunks/singletons.be338d5b.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1044/ru/_app/immutable/chunks/index.18351ede.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1044/ru/_app/immutable/chunks/paths.8081de0d.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1044/ru/_app/immutable/entry/app.658eec12.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1044/ru/_app/immutable/chunks/index.2bf4358c.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1044/ru/_app/immutable/nodes/0.286a1c9e.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1044/ru/_app/immutable/chunks/each.e59479a4.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1044/ru/_app/immutable/nodes/81.b1b09da8.js"> | |
| <link rel="modulepreload" href="/docs/course/pr_1044/ru/_app/immutable/chunks/getInferenceSnippets.80a69898.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Глоссарий","local":"глоссарий","sections":[{"title":"Сокращения","local":"сокращения","sections":[],"depth":2},{"title":"Notes","local":"notes","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="глоссарий" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#глоссарий"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Глоссарий</span></h1> <table data-svelte-h="svelte-6o04kk"><thead><tr><th>Оригинал</th> <th>Перевод</th></tr></thead> <tbody><tr><td>Abstraction</td> <td>абстракция</td></tr> <tr><td>Account</td> <td>учетная запись</td></tr> <tr><td>Accuracy</td> <td>accuracy</td></tr> <tr><td>Artificial General Intelligence</td> <td>сильный искусственный интеллект</td></tr> <tr><td>Attention</td> <td>внимание</td></tr> <tr><td>Attention mask (layer)</td> <td>маска внимания (слой)</td></tr> <tr><td>Backward Pass*</td> <td>обратный проход</td></tr> <tr><td>Batch</td> <td>батч</td></tr> <tr><td>Bias</td> <td>смещение</td></tr> <tr><td>Causal Language Modeling</td> <td>каузальное языковое моделирование</td></tr> <tr><td>Chapter</td> <td>глава</td></tr> <tr><td>Checkpoint(s)</td> <td>чекпоинт</td></tr> <tr><td>Class</td> <td>класс</td></tr> <tr><td>Classification</td> <td>классификация</td></tr> <tr><td>Code</td> <td>код</td></tr> <tr><td>Colab Notebook</td> <td>блокнот Colab</td></tr> <tr><td>Command</td> <td>команда</td></tr> <tr><td>Computer Vision</td> <td>компьютерное зрение</td></tr> <tr><td>Configuration</td> <td>конфигурация</td></tr> <tr><td>Course</td> <td>курс</td></tr> <tr><td>Decoder</td> <td>декодировщик / декодер</td></tr> <tr><td>Dependency</td> <td>зависимость</td></tr> <tr><td>Deployment</td> <td>развертывание (программного обеспечения)</td></tr> <tr><td>Development</td> <td>разработка</td></tr> <tr><td>Dictionary</td> <td>dictionary</td></tr> <tr><td>Distribution</td> <td>распределение</td></tr> <tr><td>Download</td> <td>download</td></tr> <tr><td>Encoder</td> <td>кодировщик / энкодер</td></tr> <tr><td>Extractive question answering</td> <td>выделительная вопросно-ответная система</td></tr> <tr><td>F1 score</td> <td>F1-мера</td></tr> <tr><td>Feature</td> <td>признак</td></tr> <tr><td>Fine-tune</td> <td>дообучать</td></tr> <tr><td>Fine-tuning</td> <td>дообучение</td></tr> <tr><td>Folder</td> <td>папка / директория</td></tr> <tr><td>Forward Pass*</td> <td>прямой проход</td></tr> <tr><td>Function</td> <td>функция</td></tr> <tr><td>Generative question answering</td> <td>генеративная вопросно-ответная система</td></tr> <tr><td>Google</td> <td>Google</td></tr> <tr><td>Hugging Face</td> <td>Hugging Face</td></tr> <tr><td>Incompatibility</td> <td>несовместимость</td></tr> <tr><td>Inference</td> <td>инференс</td></tr> <tr><td>Input</td> <td>вход</td></tr> <tr><td>Input data</td> <td>входные данные</td></tr> <tr><td>Label (verb)</td> <td>размечать</td></tr> <tr><td>Label (subj)</td> <td>метка класса</td></tr> <tr><td>Layer</td> <td>слой</td></tr> <tr><td>Library</td> <td>библиотека</td></tr> <tr><td>Linux</td> <td>Linux</td></tr> <tr><td>Load</td> <td>загружать</td></tr> <tr><td>Loss function</td> <td>функция потерь</td></tr> <tr><td>Machine Learning</td> <td>машинное обучение</td></tr> <tr><td>macOS</td> <td>macOS</td></tr> <tr><td>Mask</td> <td>маска</td></tr> <tr><td>Mask Filling</td> <td>предсказание замаскированного токена</td></tr> <tr><td>Mask Token</td> <td>токен-маска</td></tr> <tr><td>Masked Language Modeling</td> <td>маскированное языковое моделирование</td></tr> <tr><td>Model</td> <td>модель</td></tr> <tr><td>Model Hub</td> <td>Model Hub</td></tr> <tr><td>Module</td> <td>модуль</td></tr> <tr><td>Named Entities</td> <td>именованные сущности</td></tr> <tr><td>Named Entity Recognition</td> <td>распознавание именованных сущностей</td></tr> <tr><td>Natural Language Processing</td> <td>обработка естественного языка</td></tr> <tr><td>Output</td> <td>выход</td></tr> <tr><td>Package</td> <td>пакет</td></tr> <tr><td>Package Manager</td> <td>менеджер пакетов</td></tr> <tr><td>Padding (объект)</td> <td>padding</td></tr> <tr><td>Padding (действие)</td> <td>дополнение</td></tr> <tr><td>Parameter</td> <td>параметр</td></tr> <tr><td>Postprocessing</td> <td>постобработка / последующая обработка</td></tr> <tr><td>Preprocessing</td> <td>предобработка / предварительная обработка</td></tr> <tr><td>Pretraining</td> <td>предварительное обучение / предобучение</td></tr> <tr><td>Pretrained model</td> <td>предварительно обученная модель</td></tr> <tr><td>Pretrained model</td> <td>предобученная модель</td></tr> <tr><td>Prompt</td> <td>начальный текст</td></tr> <tr><td>Python</td> <td>Python</td></tr> <tr><td>Pytorch</td> <td>Pytorch</td></tr> <tr><td>Question Answering</td> <td>вопросно-ответная система</td></tr> <tr><td>Save</td> <td>сохранять</td></tr> <tr><td>Sample</td> <td>пример</td></tr> <tr><td>Script</td> <td>скрипт</td></tr> <tr><td>Self-Attention</td> <td>самовнимание</td></tr> <tr><td>Self-Contained</td> <td>самостоятельный</td></tr> <tr><td>Sentiment analysis</td> <td>анализ тональности текста (сентимент-анализ)</td></tr> <tr><td>Sequence-to-sequence models</td> <td>sequence-to-sequence модель</td></tr> <tr><td>Setup</td> <td>установка (программы) / настройка (среды)</td></tr> <tr><td>Speech Processing</td> <td>обработка речи</td></tr> <tr><td>Speech Recognition</td> <td>распознавание речи</td></tr> <tr><td>Summarization</td> <td>суммаризация</td></tr> <tr><td>Target</td> <td>целевая переменная</td></tr> <tr><td>Task</td> <td>задача</td></tr> <tr><td>TensorFlow</td> <td>Tensorflow</td></tr> <tr><td>Terminal</td> <td>терминал</td></tr> <tr><td>Text generation</td> <td>генерация текста</td></tr> <tr><td>Tokenizer</td> <td>Tokenizer (библиотека) / токенизатор</td></tr> <tr><td>Train</td> <td>обучение (обучать)</td></tr> <tr><td>Transfer Learning</td> <td>Transfer Learning / трансферное обучение</td></tr> <tr><td>Transformer</td> <td>трансформер</td></tr> <tr><td>Transformer models</td> <td>архитектура трансформер</td></tr> <tr><td>Translation</td> <td>(машинный) перевод</td></tr> <tr><td>Virtual Environment</td> <td>виртуальное окружение</td></tr> <tr><td>Weight</td> <td>вес</td></tr> <tr><td>Weights</td> <td>веса</td></tr> <tr><td>Windows</td> <td>Windows</td></tr> <tr><td>Working Environment</td> <td>рабочее окружение</td></tr> <tr><td>Workload</td> <td>нагрузка</td></tr> <tr><td>Workspace</td> <td>Workspace</td></tr> <tr><td>Zero-shot classification</td> <td>zero-shot классификация</td></tr></tbody></table> <p data-svelte-h="svelte-756rwd">=======</p> <p data-svelte-h="svelte-1ow2s7n">* Данные термины могут употребляться взаимозаменяемо с их английской версией</p> <h2 class="relative group"><a id="сокращения" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#сокращения"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Сокращения</span></h2> <table data-svelte-h="svelte-5cwtoo"><thead><tr><th>Оригинал</th> <th>Перевод</th></tr></thead> <tbody><tr><td>NLP</td> <td>NLP</td></tr> <tr><td>API</td> <td>API</td></tr> <tr><td>GPU</td> <td>GPU</td></tr> <tr><td>TPU</td> <td>TPU</td></tr> <tr><td>ML</td> <td>ML</td></tr></tbody></table> <h2 class="relative group"><a id="notes" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#notes"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Notes</span></h2> <p data-svelte-h="svelte-h9ma5w">Please refer to <a href="/chapters/ru/TRANSLATING.txt">TRANSLATING.txt</a> for a translation guide. Here are some excerpts relevant to the glossary:</p> <ul data-svelte-h="svelte-qi66ay"><li><p>Refer and contribute to the glossary frequently to stay on top of the latest | |
| choices we make. This minimizes the amount of editing that is required. | |
| Add new terms alphabetically sorted.</p></li> <li><p>The Russian language accepts English words especially in modern contexts more | |
| than many other languages (i.e. Anglicisms). Check for the correct usage of | |
| terms in computer science and commonly used terms in other publications.</p></li> <li><p>Don’t translate industry-accepted acronyms. e.g. TPU or GPU.</p></li> <li><p>If translating a technical word, keep the choice of Russian translation consistent. | |
| This does not apply for non-technical choices, as in those cases variety actually | |
| helps keep the text engaging.</p></li> <li><p>Be exact when choosing equivalents for technical words. Package is package. | |
| Library is library. Don’t mix and match.</p></li></ul> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/course/blob/main/chapters/ru/glossary/1.mdx" target="_blank"><span data-svelte-h="svelte-1kd6by1"><</span> <span data-svelte-h="svelte-x0xyl0">></span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a> <p></p> | |
| <script> | |
| { | |
| __sveltekit_1ivq5aw = { | |
| assets: "/docs/course/pr_1044/ru", | |
| base: "/docs/course/pr_1044/ru", | |
| env: {} | |
| }; | |
| const element = document.currentScript.parentElement; | |
| const data = [null,null]; | |
| Promise.all([ | |
| import("/docs/course/pr_1044/ru/_app/immutable/entry/start.64542123.js"), | |
| import("/docs/course/pr_1044/ru/_app/immutable/entry/app.658eec12.js") | |
| ]).then(([kit, app]) => { | |
| kit.start(app, element, { | |
| node_ids: [0, 81], | |
| data, | |
| form: null, | |
| error: null | |
| }); | |
| }); | |
| } | |
| </script> | |
Xet Storage Details
- Size:
- 15.4 kB
- Xet hash:
- 09d91dee72988954940dc80c71899cf7dc2f4677b43872162a824021d1b507bd
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.