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 Автор Тема: Я создал новую индустрию - Аннотирование!
Ilya Geller
Сообщений: 1505
Я создал новую индустрию - Аннотирование!
Добавлено: 02 фев 20 11:45
А что сделали вы? Трепачи? Болтуны? Неучи?

According to a recent report from research firm Cognilytica, over 35 companies are currently engaged in providing human labor to add labels and annotation to data to power supervised learning algorithms.
https://www.forbes.com/sites/cognitiveworld/2020/02/02/the-human-powered-companies-that-make-ai-work/#7c003774670c
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Ilya Geller
Сообщений: 1505
На: Я создал новую индустрию - Аннотирование!
Добавлено: 04 фев 20 10:19
Гугл аннотирует

Reformer: The Efficient Transformer

https://ai.googleblog.com/2020/01/reformer-efficient-transformer.html

In this case, the context window (i.e., the span of data taken into consideration in the translation) covers from dozens to about a hundred words. The more recent Transformer model not only improved performance in sentence-by-sentence translation, but could be used to generate entire Wikipedia articles through multi-document summarization. This is possible because the context window used by Transformer extends to thousands of words. With such a large context window, Transformer could be used for applications beyond text, including pixels or musical notes, enabling it to be used to generate music and images.

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Ilya Geller
Сообщений: 1505
На: Я создал новую индустрию - Аннотирование!
Добавлено: 04 фев 20 10:59
Но как ловко я выгнал штопаных презирвативов Эрика Шмидта, Сергея Брина и Ларри Пейджа из их собственной компании? А ты сука не воруй!
Они вынуждены были уйти потому как второй раз используют мои патенты.
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Ilya Geller
Сообщений: 1505
На: Я создал новую индустрию - Аннотирование!
Добавлено: 13 фев 20 22:51
Now, even if you’ve stored a vast amount of well-structured data, it might not be labeled in a way that actually works for training your model. For example, autonomous vehicles don’t just need pictures of the road, they need labeled images where each car, pedestrian, street sign and more are annotated; sentiment analysis projects require labels that help an algorithm understand when someone’s using slang or sarcasm; chatbots need entity extraction and careful syntactic analysis, not just raw language.

In other words, the data you want to use for training usually needs to be enriched or labeled. Or you might just need to collect more of it to power your algorithms. But chances are, the data you’ve stored isn’t quite ready to be used to train your classifiers.
https://www.figure-eight.com/resources/what-is-training-data/


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