GPT-4 Reviews

GPT-4

4.0 out of 5 stars

Average Ratings 1 Rating

Total 4 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 4 out of 5 stars
support 3 out of 5 stars

Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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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

TabFM is an innovative zero-shot foundation model specifically created for handling tabular data, aimed at streamlining classification and regression processes that usually necessitate extensive manual model training, hyperparameter optimization, and tailored feature engineering. By transforming the challenge of tabular prediction into an in-context learning task, TabFM avoids the need to train a new supervised model for every dataset; instead, it consolidates historical training examples and target testing rows into a single cohesive prompt, allowing it to discern the intricate relationships between various columns and rows during inference. Given that tables are inherently two-dimensional and do not rely on a specific order, TabFM employs a hybrid architecture that integrates alternating attention mechanisms for both rows and columns, row compression techniques, and a specialized Transformer designed for in-context learning based on these compressed row embeddings. This sophisticated framework enables the model to effectively capture complex interactions and dependencies among features while maintaining computational efficiency, particularly advantageous for processing larger datasets. Furthermore, this approach not only enhances performance but also significantly reduces the time and resources typically required for model development in tabular data tasks.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Blog Assistant Yes 
ChatFast Yes 
Chatsimple Yes 
Chaturji Yes 
Code Snippets AI Yes 
Companion Yes 
Content Codex Yes 
Credal Yes 
Cyril Yes 
Genie AI Yes 
Microsoft Security Copilot Yes 
NewOaks AI Yes 
PocketAI Yes 
Synthflow Yes 
Unremot Yes 
ZeroGPT Yes 
botx Yes 
scribe Yes 

Integrations

Blog Assistant No 
ChatFast No 
Chatsimple No 
Chaturji No 
Code Snippets AI No 
Companion No 
Content Codex No 
Credal No 
Cyril No 
Genie AI No 
Microsoft Security Copilot No 
NewOaks AI No 
PocketAI No 
Synthflow No 
Unremot No 
ZeroGPT No 
botx No 
scribe No 

Pricing Details

$0.0200 per 1000 tokens
Prices are per 1,000 tokens. You can think of tokens as pieces of words, where 1,000 tokens is about 750 words. This paragraph is 35 tokens.
Free Trial Yes 
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 Yes 
On-Premises No 
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 Yes 

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

OpenAI

Founded

2015

Country

United States

Website

beta.openai.com/docs/models/gpt-4

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

research.google/blog/introducing-tabfm-a-zero-shot-foundation-model-for-tabular-data/

Product Features

Artificial Intelligence

Chatbot Yes 
For Healthcare Yes 
For Sales Yes 
For eCommerce Yes 
Image Recognition No 
Machine Learning Yes 
Multi-Language Yes 
Natural Language Processing Yes 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) Yes 

Natural Language Generation

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

Natural Language Processing

Co-Reference Resolution Yes 
In-Database Text Analytics Yes 
Named Entity Recognition Yes 
Natural Language Generation (NLG) Yes 
Open Source Integrations Yes 
Parsing Yes 
Part-of-Speech Tagging Yes 
Sentence Segmentation Yes 
Stemming/Lemmatization Yes 
Tokenization Yes 

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