BERT

BERT

Google
Cohere

Cohere

Cohere AI
+
+

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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

Cohere is an enterprise AI platform that enables developers and businesses to build powerful language-based applications. Specializing in large language models (LLMs), Cohere provides solutions for text generation, summarization, and semantic search. Their model offerings include the Command family for high-performance language tasks and Aya Expanse for multilingual applications across 23 languages. Focused on security and customization, Cohere allows flexible deployment across major cloud providers, private cloud environments, or on-premises setups to meet diverse enterprise needs. The company collaborates with industry leaders like Oracle and Salesforce to integrate generative AI into business applications, improving automation and customer engagement. Additionally, Cohere For AI, their research lab, advances machine learning through open-source projects and a global research community.

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

Businesses, developers, and enterprises looking to integrate advanced language models for automation, text processing, and AI-driven customer interactions

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

Free
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 4.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 4.0 / 5

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.

Pros & Cons from Real Users

Pros

  • The API and playground interface are good

Cons

  • Rate limiting on trial is a pain but given that it's free I can't complain.

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

Cohere AI
Founded: 2019
Canada
cohere.com

Alternatives

Gemini

Gemini

Google

Alternatives

Lyzr

Lyzr

Lyzr AI
ALBERT

ALBERT

Google
BLOOM

BLOOM

BigScience
RoBERTa

RoBERTa

Meta
Claude

Claude

Anthropic
GPT-4

GPT-4

OpenAI

Categories

Categories

Integrations

Airtool
ApertureDB
Axis LMS
Cohere Embed
Command A Reasoning
F#
GitHub
Google Slides
Kotlin
Langtrace
MindMac
NVIDIA AI Foundations
PDF7
Peasy
Pillar Security
Pinecone Rerank v0
ProfAI
Prompt Refine
Teradata VantageCloud
Visual Basic

Integrations

Airtool
ApertureDB
Axis LMS
Cohere Embed
Command A Reasoning
F#
GitHub
Google Slides
Kotlin
Langtrace
MindMac
NVIDIA AI Foundations
PDF7
Peasy
Pillar Security
Pinecone Rerank v0
ProfAI
Prompt Refine
Teradata VantageCloud
Visual Basic
Claim BERT and update features and information
Claim BERT and update features and information
Claim Cohere and update features and information
Claim Cohere and update features and information