BERT

BERT

Google
Tune AI

Tune AI

NimbleBox
+
+

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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

Leverage the power of custom models to build your competitive advantage. With our enterprise Gen AI stack, go beyond your imagination and offload manual tasks to powerful assistants instantly – the sky is the limit. For enterprises where data security is paramount, fine-tune and deploy generative AI models on your own cloud, securely.

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

AI developers interested in a powerful generative AI solution

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:

Review this Software

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

NimbleBox
Founded: 2018
United States
tunehq.ai

Alternatives

Gemini

Gemini

Google

Alternatives

ALBERT

ALBERT

Google
BLOOM

BLOOM

BigScience
Cohere

Cohere

Cohere AI
RoBERTa

RoBERTa

Meta
LM-Kit.NET

LM-Kit.NET

LM-Kit
GPT-3

GPT-3

OpenAI

Categories

Categories

Integrations

Alpaca
Azure OpenAI Service
DigitalOcean
Llama
Llama 3.1
Microsoft Azure
Microsoft OneDrive
Microsoft PowerPoint
Microsoft SharePoint
Microsoft Teams
Microsoft Word
Ministral 8B
Mistral Small
Mixtral 8x22B
Oracle Cloud Infrastructure
Pixtral Large
Playground
Spark NLP
Vivaticket

Integrations

Alpaca
Azure OpenAI Service
DigitalOcean
Llama
Llama 3.1
Microsoft Azure
Microsoft OneDrive
Microsoft PowerPoint
Microsoft SharePoint
Microsoft Teams
Microsoft Word
Ministral 8B
Mistral Small
Mixtral 8x22B
Oracle Cloud Infrastructure
Pixtral Large
Playground
Spark NLP
Vivaticket
Claim BERT and update features and information
Claim BERT and update features and information
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Claim Tune AI and update features and information