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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
API Access
Has API
Integrations
AWS Marketplace
Alpaca
Amazon SageMaker Model Training
Gensim
Gopher
Haystack
JavaScript
PostgresML
Python
Spark NLP
Integrations
AWS Marketplace
Alpaca
Amazon SageMaker Model Training
Gensim
Gopher
Haystack
JavaScript
PostgresML
Python
Spark NLP
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
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
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization