BERT

BERT

Google
LUIS

LUIS

Microsoft
+
+

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About

BERT is a large language model and a method of pre-training language representations. Pre-training refers to how BERT is first trained on a large source of text, such as Wikipedia. You can then apply the training results to other Natural Language Processing (NLP) tasks, such as question answering and sentiment analysis. With BERT and AI Platform Training, you can train a variety of NLP models in about 30 minutes.

About

Language Understanding (LUIS): A machine learning-based service to build natural language into apps, bots, and IoT devices. Quickly create enterprise-ready, custom models that continuously improve. Add natural language to your apps. Designed to identify valuable information in conversations, LUIS interprets user goals (intents) and distills valuable information from sentences (entities), for a high quality, nuanced language model. LUIS integrates seamlessly with the Azure Bot Service, making it easy to create a sophisticated bot. Powerful developer tools are combined with customizable pre-built apps and entity dictionaries, such as Calendar, Music, and Devices, so you can build and deploy a solution more quickly. Dictionaries are mined from the collective knowledge of the web and supply billions of entries, helping your model to correctly identify valuable information from user conversations. Active learning is used to continuously improve the quality of the models.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers interested in a powerful large language model

Audience

Organizations that want to build natural language into apps, bots, and IoT devices

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 4.0 / 5
ease 4.0 / 5
features 4.0 / 5
design 3.0 / 5
support 3.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Pros & Cons from Real Users

Pros

  • When BERT model implemented on stress detection use case, BERT as it handles context of the text was easily able to identify negation sentence like detecting "I am NOT happy" as a stressful text which was not happening in other models like logistic regression, decision tree, random forest, multinomial naive bayes, CNN, RNN, LSTM etc.

Cons

  • difficulty in finding a suitable multilingual datastet to train the model for both hind and english use cases.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
cloud.google.com/ai-platform/training/docs/algorithms/bert-start

Company Information

Microsoft
Founded: 1975
United States
www.luis.ai/

Alternatives

Gemini

Gemini

Google

Alternatives

Amazon Lex

Amazon Lex

Amazon
ALBERT

ALBERT

Google
Dialogflow

Dialogflow

Google
BLOOM

BLOOM

BigScience
RoBERTa

RoBERTa

Meta
InstructGPT

InstructGPT

OpenAI

Categories

Categories

Integrations

AWS Marketplace
Alpaca
Amazon SageMaker Model Training
Azure CLU
BotCore
Dydu
Geomant
Geomant Wallboard
Gopher
Haystack
Ideta
Microsoft Entra ID
Neo Enterprise Assistant Platform
PostgresML
QnA Maker
Quickwork
Spark NLP
Take Blip

Integrations

AWS Marketplace
Alpaca
Amazon SageMaker Model Training
Azure CLU
BotCore
Dydu
Geomant
Geomant Wallboard
Gopher
Haystack
Ideta
Microsoft Entra ID
Neo Enterprise Assistant Platform
PostgresML
QnA Maker
Quickwork
Spark NLP
Take Blip
Claim BERT and update features and information
Claim BERT and update features and information
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