Question 1

这些数据的来源是什么?

Accepted Answer

我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术，包括他们使用的内部工具。

Question 2

数据多久更新一次?

Accepted Answer

我们每天更新数据，以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。

Question 3

什么是Transformers?

Accepted Answer

Transformers is a revolutionary technology in the field of Natural Language Processing NLP and Sentiment Analysis Developed by researchers at Google in collaboration with OpenAI Transformers have redefined the way machines understand and generate human language Unlike traditional sequencetosequence models Transformers leverage a selfattention mechanism that allows them to capture dependencies between words in a sentence more effectively

Transformers belong to the category of deep learning models specifically designed for languagerelated tasks They excel in tasks such as language translation sentiment analysis text summarization and questionanswering systems By processing words in parallel rather than sequentially Transformers have significantly improved the efficiency and accuracy of NLP tasks

The history of Transformers dates back to 2017 when researchers at Google introduced the concept in a paper titled Attention is All You Need This seminal work laid the foundation for the Transformer architecture which was further popularized by OpenAIs GPT Generative Pretrained Transformer models The motivation behind developing Transformers was to address the limitations of recurrent neural networks and traditional sequence models in capturing longrange dependencies in language

Currently Transformers dominate the NLP landscape and have captured a substantial market share in tasks requiring language understanding and generation With the continuous advancements in Transformerbased models such as BERT GPT3 and RoBERTa the technology is poised to further expand its market penetration The future outlook for Transformers indicates a steady growth trajectory as more industries adopt NLP solutions for automated content generation sentiment analysis chatbots and personalized user experiences

Question 4

如何获得使用Transformers的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Transformers 的公司更新名单。我们的平台提供了一个全面的数据库，涵盖了使用各种技术和内部工具的公司。

Question 5

Transformers 有多少客户？

Accepted Answer

截至目前，我们拥有关于 5,598 家使用 Transformers 的公司的数据。

Question 6

谁在使用Transformers?

Accepted Answer

Transformers 被广泛应用于包括 "Utilities", "Retail", "Renewable Energy Power Generation", "It Services And It Consulting", "Electric Power Generation", "Automation Machinery Manufacturing", "Renewable Energy Equipment Manufacturing", "Computer Games", "It Services And It Consulting", "Professional Services" 在内的各个行业的各种组织中。欲了解所有使用 Transformers 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Transformers?

Accepted Answer

一些使用Transformers的公司包括Hitachi Energy, Amazon.com, Siemens Energy, Amazon Web Services (AWS), GE Vernova, Schneider Electric, GE Renewable Energy, Kabam, Oracle, Wood以及更多公司。您可以在TheirStack.com上找到使用Transformers的5,598家公司完整列表。

Question 8

哪些国家使用Transformers最多？

Accepted Answer

根据我们的数据，Transformers 在 美国 (1,555 companies), 英国 (375 companies), 印度 (212 companies), 法国 (153 companies), 加拿大 (137 companies), 德国 (98 companies), 西班牙 (85 companies), 荷兰 (53 companies), 澳大利亚 (48 companies), 新加坡 (35 companies) 最受欢迎。然而，它被全世界的公司所使用。

Question 9

如何找到使用Transformers的公司？

Accepted Answer

您可以在TheirStack.com上搜索Transformers，来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息，并借此发现他们正在使用的技术和内部工具。

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

公司	国家	行业	雇员	收入	技术
Hitachi Energy	瑞士	Utilities	28K	$12M	Transformers
Amazon.com	美国	Retail	10K	$50M	Transformers
Siemens Energy	西班牙	Renewable Energy Power Generation	44K	$9.2B	Transformers
Amazon Web Services (AWS)	美国	It Services And It Consulting	136K		Transformers
GE Vernova		Electric Power Generation	54K		Transformers
Schneider Electric	法国	Automation Machinery Manufacturing	166K	$26B	Transformers
GE Renewable Energy	法国	Renewable Energy Equipment Manufacturing	10K		Transformers
Kabam	加拿大	Computer Games	850	$1.5B	Transformers
Oracle	美国	It Services And It Consulting	202K	$50B	Transformers
Wood	英国	Professional Services	37K	$7.6B	Transformers

使用 Transformers 的公司

如何针对Transformers用户进行定位

使用 Transformers 的公司

如何针对Transformers用户进行定位

这些数据的来源是什么?

这些数据的来源是什么?

数据多久更新一次?

数据多久更新一次?

什么是Transformers?

什么是Transformers?

如何获得使用Transformers的公司的最新列表？

如何获得使用Transformers的公司的最新列表？

Transformers 有多少客户？

Transformers 有多少客户？

谁在使用Transformers?

谁在使用Transformers?

哪些公司使用Transformers?

哪些公司使用Transformers?

哪些国家使用Transformers最多？

哪些国家使用Transformers最多？

如何找到使用Transformers的公司？

如何找到使用Transformers的公司？

使用Transformers的公司列表

使用Transformers的公司所在国家

美国

英国

印度

法国

加拿大

德国

西班牙

荷兰

澳大利亚

新加坡

Transformers 替代品和竞争对手

Optic

Hugging Face

SpaCy

Thematic

GitHub Copilot

Gensim

Plasticity

CoreNLP

FastText

Sinequa

IBM Watson Assistant

Spark NLP

Stanza

Serenade

Dragon NaturallySpeaking

Telosys

Apache cTAKES

AdaTest

Dasha

Lucet

HumanFirst

rasa NLU

Nuance Recognizer

Google Cloud Speech-to-Text

Microsoft Azure Speech to Text

Azure Translator

Azure Language Understanding

AYLIEN

MonkeyLearn

Nuance Nina

Azure QnA Maker

Nuance Text to Speech

Speechly

NLP Cloud

AlchemyAPI

Google Cloud Natural Language API

Semantria

Codeium.vim

GAannotations

NeuronBlocks

Tisane Labs

Label Sleuth

Nuance Transcend

Nuance SpeechMagic

Nuance RadWhere