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What is TabFM?

TabFM is a cutting-edge foundation model designed for zero-shot learning specifically tailored to manage tabular data, with the goal of simplifying the processes of classification and regression that often demand considerable manual training, hyperparameter tuning, and customized feature engineering. By reframing the difficulties associated with tabular prediction as an in-context learning challenge, TabFM eliminates the necessity of training a distinct supervised model for each dataset; rather, it merges previous training examples with target testing rows into a unified prompt, enabling it to identify the complex relationships that exist between different columns and rows during the inference phase. Since tables are fundamentally two-dimensional and do not depend on a predetermined order, TabFM utilizes a hybrid architecture that combines alternating attention mechanisms for both rows and columns, along with row compression methods, and a dedicated Transformer designed for in-context learning based on these compressed row representations. This advanced structure allows the model to adeptly capture intricate interactions and dependencies among features while ensuring computational efficiency, which is particularly beneficial for dealing with larger datasets. Moreover, this innovative methodology not only boosts performance but also markedly decreases the time and resources generally required for the development of models in tabular data applications, paving the way for more effective analytical solutions. As a result, TabFM represents a significant advancement in the realm of machine learning for tabular data, starting a new era in data analysis.

What is Port?

Port serves as a platform designed for the creation of no-code, comprehensive internal developer portals. Within Port's software catalog, users can find various microservices and custom assets, which can seamlessly integrate with any data model. Additionally, the platform features in-context maturity scorecards to evaluate project progress. By utilizing these portals, developers can streamline workflows and access self-service options, enhancing overall productivity. This approach not only simplifies development processes but also fosters collaboration within teams.

Media

Media

Integrations Supported

Amplication
Argo CD
Bitbucket
Codefresh
GitHub
Kubernetes
OpenCost
Terraform

Integrations Supported

Amplication
Argo CD
Bitbucket
Codefresh
GitHub
Kubernetes
OpenCost
Terraform

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

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

Company Facts

Organization Name

Port IO

Date Founded

2022

Company Location

Israel

Company Website

www.port.io

Categories and Features

Categories and Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Incident Management

Audit Trail
Corrective Actions (CAPA)
Disaster Recovery
IT Incident Management
Incident Reporting
OSHA Compliance
Root-Cause Diagnosis
Safety Management
Task Management
Ticket Management

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