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Description

BERT is a significant language model that utilizes a technique for pre-training language representations. This pre-training process involves initially training BERT on an extensive dataset, including resources like Wikipedia. Once this foundation is established, the model can be utilized for diverse Natural Language Processing (NLP) applications, including tasks such as question answering and sentiment analysis. Additionally, by leveraging BERT alongside AI Platform Training, it becomes possible to train various NLP models in approximately half an hour, streamlining the development process for practitioners in the field. This efficiency makes it an appealing choice for developers looking to enhance their NLP capabilities.

Description

fastText is a lightweight and open-source library created by Facebook's AI Research (FAIR) team, designed for the efficient learning of word embeddings and text classification. It provides capabilities for both unsupervised word vector training and supervised text classification, making it versatile for various applications. A standout characteristic of fastText is its ability to utilize subword information, as it represents words as collections of character n-grams; this feature significantly benefits the processing of morphologically complex languages and words that are not in the training dataset. The library is engineered for high performance, allowing for rapid training on extensive datasets, and it also offers the option to compress models for use on mobile platforms. Users can access pre-trained word vectors for 157 different languages, generated from Common Crawl and Wikipedia, which are readily available for download. Additionally, fastText provides aligned word vectors for 44 languages, enhancing its utility for cross-lingual natural language processing applications, thus broadening its use in global contexts. This makes fastText a powerful tool for researchers and developers in the field of natural language processing.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace Yes 
Alpaca Yes 
Amazon SageMaker Model Training Yes 
Gensim No 
Gopher Yes 
Haystack Yes 
JavaScript No 
PostgresML Yes 
Python No 
Spark NLP Yes 
WebAssembly No 

Integrations

AWS Marketplace No 
Alpaca No 
Amazon SageMaker Model Training No 
Gensim Yes 
Gopher No 
Haystack No 
JavaScript Yes 
PostgresML No 
Python Yes 
Spark NLP No 
WebAssembly Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/ai-platform/training/docs/algorithms/bert-start

Vendor Details

Company Name

fastText

Website

fasttext.cc/

Product Features

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

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