TabFM

TabFM

Google
+
+

Related Products

  • Google Cloud Speech-to-Text
    366 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website
  • Criminal IP ASM
    20 Ratings
    Visit Website
  • optivalue.ai
    4 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Auvik
    675 Ratings
    Visit Website
  • Nexo
    18,609 Ratings
    Visit Website
  • Control D
    183 Ratings
    Visit Website
  • Vibe Retail
    83 Ratings
    Visit Website

About

GPT-5.2 Thinking is the highest-capability configuration in OpenAI’s GPT-5.2 model family, engineered for deep, expert-level reasoning, complex task execution, and advanced problem solving across long contexts and professional domains. Built on the foundational GPT-5.2 architecture with improvements in grounding, stability, and reasoning quality, this variant applies more compute and reasoning effort to generate responses that are more accurate, structured, and contextually rich when handling highly intricate workflows, multi-step analysis, and domain-specific challenges. GPT-5.2 Thinking excels at tasks that require sustained logical coherence, such as detailed research synthesis, advanced coding and debugging, complex data interpretation, strategic planning, and sophisticated technical writing, and it outperforms lighter variants on benchmarks that test professional skills and deep comprehension.

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

Professionals and developers who need an AI model to perform deep reasoning, handle long context tasks, and solve complex problems with high accuracy

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

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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

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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

OpenAI
Founded: 2015
United States
openai.com

Company Information

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

Alternatives

Claude Opus 4.5

Claude Opus 4.5

Anthropic

Alternatives

Evo 2

Evo 2

Arc Institute
Claude Opus 4.6

Claude Opus 4.6

Anthropic
GPT-5.2 Pro

GPT-5.2 Pro

OpenAI
MLBox

MLBox

Axel ARONIO DE ROMBLAY

Categories

Categories

Integrations

AiAssistWorks
Bash
C++
ChatGPT Plus
ChatGPT Pro
Codex Security
Devin
EaseMate AI
FastRouter
GPT-5.1-Codex-Max
GitHub Copilot
Google Drive
Microsoft 365 Copilot Chat
Microsoft Teams
Node.js
Novelcrafter
OpenClaw
Python
Verdent

Integrations

AiAssistWorks
Bash
C++
ChatGPT Plus
ChatGPT Pro
Codex Security
Devin
EaseMate AI
FastRouter
GPT-5.1-Codex-Max
GitHub Copilot
Google Drive
Microsoft 365 Copilot Chat
Microsoft Teams
Node.js
Novelcrafter
OpenClaw
Python
Verdent
Claim GPT-5.2 Thinking and update features and information
Claim GPT-5.2 Thinking and update features and information
Claim TabFM and update features and information
Claim TabFM and update features and information