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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

We offer fast and precise AI models optimized for deployment in production environments. Our inference API is designed for high availability, utilizing cutting-edge NVIDIA GPUs to ensure optimal performance. We have curated a selection of top open-source natural language processing (NLP) models from the community, making them readily available for your use. You have the flexibility to fine-tune your own models, including GPT-J, or upload your proprietary models for seamless deployment in production. From your user-friendly dashboard, you can easily upload or train/fine-tune AI models, allowing you to integrate them into production immediately without the hassle of managing deployment factors such as memory usage, availability, or scalability. Moreover, you can upload an unlimited number of models and deploy them as needed, ensuring that you can continuously innovate and adapt to your evolving requirements. This provides a robust framework for leveraging AI technologies in your projects.

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 
Amazon Web Services (AWS) No 
Go No 
Google Cloud Platform No 
Gopher Yes 
Haystack Yes 
MusicGPT No 
Node.js No 
PHP No 
PostgresML Yes 
Promptitude No 
Python No 
Ruby No 
Shulex VOC No 
Spark NLP Yes 
Steamship No 

Integrations

AWS Marketplace No 
Alpaca No 
Amazon SageMaker Model Training No 
Amazon Web Services (AWS) Yes 
Go Yes 
Google Cloud Platform Yes 
Gopher No 
Haystack No 
MusicGPT Yes 
Node.js Yes 
PHP Yes 
PostgresML No 
Promptitude Yes 
Python Yes 
Ruby Yes 
Shulex VOC Yes 
Spark NLP No 
Steamship Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$29 per month
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 Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
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

NLP Cloud

Founded

2021

Country

France

Website

nlpcloud.com

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 

Product Features

Natural Language Generation

Business Intelligence No 
CRM Data Analysis and Reports No 
Chatbot No 
Email Marketing No 
Financial Reporting No 
Multiple Language Support No 
SEO No 
Web Content No 

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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