ALBERT

ALBERT

Google
+
+

Related Products

  • Vertex AI
    944 Ratings
    Visit Website
  • Google AI Studio
    11 Ratings
    Visit Website
  • LM-Kit.NET
    25 Ratings
    Visit Website
  • Enterprise Bot
    23 Ratings
    Visit Website
  • PackageX OCR Scanning
    46 Ratings
    Visit Website
  • Expedience Software
    32 Ratings
    Visit Website
  • Forethought
    166 Ratings
    Visit Website
  • Ango Hub
    15 Ratings
    Visit Website
  • Criminal IP
    17 Ratings
    Visit Website
  • SBS Financing Platform
    3 Ratings
    Visit Website

About

ALBERT is a self-supervised Transformer model that was pretrained on a large corpus of English data. This means it does not require manual labelling, and instead uses an automated process to generate inputs and labels from raw texts. It is trained with two distinct objectives in mind. The first is Masked Language Modeling (MLM), which randomly masks 15% of words in the input sentence and requires the model to predict them. This technique differs from RNNs and autoregressive models like GPT as it allows the model to learn bidirectional sentence representations. The second objective is Sentence Ordering Prediction (SOP), which entails predicting the ordering of two consecutive segments of text during pretraining.

About

fastText is an open source, free, and lightweight library developed by Facebook's AI Research (FAIR) lab for efficient learning of word representations and text classification. It supports both unsupervised learning of word vectors and supervised learning for text classification tasks. A key feature of fastText is its ability to capture subword information by representing words as bags of character n-grams, which enhances the handling of morphologically rich languages and out-of-vocabulary words. The library is optimized for performance and capable of training on large datasets quickly, and the resulting models can be reduced in size for deployment on mobile devices. Pre-trained word vectors are available for 157 languages, trained on Common Crawl and Wikipedia data, and can be downloaded for immediate use. fastText also offers aligned word vectors for 44 languages, facilitating cross-lingual natural language processing tasks.

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

AI developers

Audience

Language processing practitioners and researchers requiring a tool for learning word embeddings and building text classifiers

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

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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

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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
github.com/google-research/albert

Company Information

fastText
fasttext.cc/

Alternatives

RoBERTa

RoBERTa

Meta

Alternatives

Gensim

Gensim

Radim Řehůřek
InstructGPT

InstructGPT

OpenAI
GloVe

GloVe

Stanford NLP
word2vec

word2vec

Google
BERT

BERT

Google
LexVec

LexVec

Alexandre Salle
GPT-4

GPT-4

OpenAI

Categories

Categories

Integrations

Gensim
JavaScript
Python
Spark NLP
WebAssembly

Integrations

Gensim
JavaScript
Python
Spark NLP
WebAssembly
Claim ALBERT and update features and information
Claim ALBERT and update features and information
Claim fastText and update features and information
Claim fastText and update features and information