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Description
GPT-4, or Generative Pre-trained Transformer 4, is a highly advanced unsupervised language model that is anticipated for release by OpenAI. As the successor to GPT-3, it belongs to the GPT-n series of natural language processing models and was developed using an extensive dataset comprising 45TB of text, enabling it to generate and comprehend text in a manner akin to human communication. Distinct from many conventional NLP models, GPT-4 operates without the need for additional training data tailored to specific tasks. It is capable of generating text or responding to inquiries by utilizing only the context it creates internally. Demonstrating remarkable versatility, GPT-4 can adeptly tackle a diverse array of tasks such as translation, summarization, question answering, sentiment analysis, and more, all without any dedicated task-specific training. This ability to perform such varied functions further highlights its potential impact on the field of artificial intelligence and natural language processing.
Description
OpenGPT-X is an initiative based in Germany that is dedicated to creating large AI language models specifically designed to meet the needs of Europe, highlighting attributes such as adaptability, reliability, multilingual support, and open-source accessibility. This initiative unites various partners to encompass the full spectrum of the generative AI value chain, which includes scalable, GPU-powered infrastructure and data for training expansive language models, alongside model design and practical applications through prototypes and proofs of concept. The primary goal of OpenGPT-X is to promote innovative research with a significant emphasis on business applications, thus facilitating the quicker integration of generative AI within the German economic landscape. Additionally, the project places a strong importance on the ethical development of AI, ensuring that the models developed are both reliable and consistent with European values and regulations. Furthermore, OpenGPT-X offers valuable resources such as the LLM Workbook and a comprehensive three-part reference guide filled with examples and resources to aid users in grasping the essential features of large AI language models, ultimately fostering a deeper understanding of this technology. By providing these tools, OpenGPT-X not only supports the technical development of AI but also encourages responsible usage and implementation across various sectors.
API Access
Has API
API Access
Has API
Integrations
ChatGOT
ChatGPT Plus
ChatSlide
Cognitiev PRO
Copymate
Dart
DiagramGPT
DocDecoder
Koala AI
Nextbase
Integrations
ChatGOT
ChatGPT Plus
ChatSlide
Cognitiev PRO
Copymate
Dart
DiagramGPT
DocDecoder
Koala AI
Nextbase
Pricing Details
$0.0200 per 1000 tokens
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
OpenAI
Founded
2015
Country
United States
Website
beta.openai.com/docs/models/gpt-4
Vendor Details
Company Name
OpenGPT-X
Founded
2022
Country
Germany
Website
opengpt-x.de/
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Natural Language Generation
Business Intelligence
CRM Data Analysis and Reports
Chatbot
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content
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