GPT-4

GPT-4

OpenAI
TabFM

TabFM

Google
+
+

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About

GPT-4 (Generative Pre-trained Transformer 4) is a large-scale unsupervised language model, yet to be released by OpenAI. GPT-4 is the successor to GPT-3 and part of the GPT-n series of natural language processing models, and was trained on a dataset of 45TB of text to produce human-like text generation and understanding capabilities. Unlike most other NLP models, GPT-4 does not require additional training data for specific tasks. Instead, it can generate text or answer questions using only its own internally generated context as input. GPT-4 has been shown to be able to perform a wide variety of tasks without any task specific training data such as translation, summarization, question answering, sentiment analysis and more.

About

TabFM is a zero-shot foundation model for tabular data, designed to simplify classification and regression workflows that traditionally require manual model training, hyperparameter tuning, and domain-specific feature engineering. Built specifically for tables, TabFM reframes tabular prediction as an in-context learning problem: instead of fitting a new supervised model to each dataset, it takes historical training examples and target testing rows together as one unified prompt, then interprets relationships between columns and rows at inference time. Because tables are two-dimensional and orderless, TabFM uses a hybrid architecture that combines alternating row and column attention, row compression, and a dedicated Transformer for in-context learning over compressed row embeddings. This design lets the model capture complex feature interactions and dependencies while keeping prediction computationally efficient for larger datasets.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Users interested in a powerful a large-scale unsupervised language model that can generate human-like text and complete a wide variety of tasks

Audience

Data scientists and analytics teams that need accurate tabular classification and regression without repetitive training, tuning, and feature-engineering work

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$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 Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 4.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 4.0 / 5
support 3.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • Huge leap over the previous model, GPT-3. Very good at coding and summarizing and writing original shortform content.

Cons

  • At first, GPT-4 seemed amazing. It does seem in the past few months it may have regressed a bit, and I am not sure why. I just know that it has botched a few tasks that it previously would have done perfectly. But it's still a huge leap over GPT-3. The other downside is that it is slower than GPT-3. I know it is a more complex model, so that might be to be expected, but I hope they can speed it up.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

OpenAI
Founded: 2015
United States
beta.openai.com/docs/models/gpt-4

Company Information

Google
Founded: 1998
United States
research.google/blog/introducing-tabfm-a-zero-shot-foundation-model-for-tabular-data/

Alternatives

Alternatives

Evo 2

Evo 2

Arc Institute
Claude

Claude

Anthropic
Dialogflow

Dialogflow

Google
GPT-4 Turbo

GPT-4 Turbo

OpenAI
ChatGPT

ChatGPT

OpenAI
MLBox

MLBox

Axel ARONIO DE ROMBLAY

Categories

Categories

Artificial Intelligence Features

Chatbot
For eCommerce
For Healthcare
For Sales
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Natural Language Generation Features

Business Intelligence
Chatbot
CRM Data Analysis and Reports
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content

Natural Language Processing Features

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

Integrations

AgentSea
Arvin
Cursor
Diddo
Fleak
Giga ML
HIX Translate
Kraftful
LibreChat
Lucite
Lyzr
My AI Ninja
Phind
Pineapple Builder
Respan
RouteLLM
Slater
Tila
Tiny Talk
Yaseen AI

Integrations

AgentSea
Arvin
Cursor
Diddo
Fleak
Giga ML
HIX Translate
Kraftful
LibreChat
Lucite
Lyzr
My AI Ninja
Phind
Pineapple Builder
Respan
RouteLLM
Slater
Tila
Tiny Talk
Yaseen AI
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