BERT

BERT

Google
Gensim

Gensim

Radim Řehůřek
+
+

Related Products

  • Gemini Enterprise Agent Platform
    984 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Enterprise Bot
    23 Ratings
    Visit Website
  • kama.ai
    9 Ratings
    Visit Website
  • Concord
    237 Ratings
    Visit Website
  • Adobe Firefly
    25,029 Ratings
    Visit Website
  • ClickLearn
    67 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,017 Ratings
    Visit Website
  • Buildxact
    261 Ratings
    Visit Website

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

Gensim is a free, open source Python library designed for unsupervised topic modeling and natural language processing, focusing on large-scale semantic modeling. It enables the training of models like Word2Vec, FastText, Latent Semantic Analysis (LSA), and Latent Dirichlet Allocation (LDA), facilitating the representation of documents as semantic vectors and the discovery of semantically related documents. Gensim is optimized for performance with highly efficient implementations in Python and Cython, allowing it to process arbitrarily large corpora using data streaming and incremental algorithms without loading the entire dataset into RAM. It is platform-independent, running on Linux, Windows, and macOS, and is licensed under the GNU LGPL, promoting both personal and commercial use. The library is widely adopted, with thousands of companies utilizing it daily, over 2,600 academic citations, and more than 1 million downloads per week.

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

Machine learning practitioners seeking a solution for topic modeling and semantic analysis of large text corpora

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 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

Radim Řehůřek
Founded: 2009
Czech Republic
radimrehurek.com/gensim/

Alternatives

Gemini

Gemini

Google

Alternatives

GloVe

GloVe

Stanford NLP
ALBERT

ALBERT

Google
word2vec

word2vec

Google
BLOOM

BLOOM

BigScience
RoBERTa

RoBERTa

Meta
GPT-4

GPT-4

OpenAI

Categories

Categories

Integrations

AWS Marketplace
Alpaca
Amazon SageMaker Model Training
C
Cython
Gopher
Haystack
NumPy
PostgresML
Python
Spark NLP
fastText
word2vec

Integrations

AWS Marketplace
Alpaca
Amazon SageMaker Model Training
C
Cython
Gopher
Haystack
NumPy
PostgresML
Python
Spark NLP
fastText
word2vec
Claim BERT and update features and information
Claim BERT and update features and information
Claim Gensim and update features and information
Claim Gensim and update features and information