TabPFN-3.5

TabPFN-3.5

Prior Labs
Yi-Large

Yi-Large

01.AI
+
+

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About

TabPFN-3.5 is a tabular foundation model built for state-of-the-art predictions on structured data. It supports a wide range of prediction tasks, including churn, fraud, pricing, demand forecasting, risk, and other real-world data science problems, allowing teams to serve multiple use cases with one model. The model works with data as it is, handling missing values, outliers, categorical features, multi-table datasets, free text as a feature, thousands of distinct IDs without encoding, and hundreds of measurements per row. Users can feed in raw data, skip feature engineering and preprocessing, and get production-grade predictions from the first predict call. TabPFN-3.5 performs predictions in a single forward pass and is designed for both accuracy and speed, with fast inference for latency-critical predictive workflows. It supports production-scale datasets of up to one million rows natively and delivers 20x faster inference than previous model versions.

About

Yi-Large is a proprietary large language model developed by 01.AI, offering a 32k context length with both input and output costs at $2 per million tokens. It stands out with its advanced capabilities in natural language processing, common-sense reasoning, and multilingual support, performing on par with leading models like GPT-4 and Claude3 in various benchmarks. Yi-Large is designed for tasks requiring complex inference, prediction, and language understanding, making it suitable for applications like knowledge search, data classification, and creating human-like chatbots. Its architecture is based on a decoder-only transformer with enhancements such as pre-normalization and Group Query Attention, and it has been trained on a vast, high-quality multilingual dataset. This model's versatility and cost-efficiency make it a strong contender in the AI market, particularly for enterprises aiming to deploy AI solutions globally.

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

Data scientists, machine learning teams, and organizations needing to build fast, production-ready predictions from structured data

Audience

Developers, researchers, and enterprises seeking a high-performance AI model for advanced natural language processing, coding, and data-driven decision-making

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

$0.19 per 1M input token
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

Prior Labs
Founded: 2024
Germany
priorlabs.ai/tabpfn-3-5

Company Information

01.AI
Founded: 2023
China
www.01.ai/

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Categories

Categories

Integrations

Amazon Web Services (AWS)
Databricks
DeepSeek R1
GitHub
Google Cloud Platform
Hugging Face
LLaMA-Factory
Microsoft Azure
Model Context Protocol (MCP)
ModelScope
NVIDIA DRIVE
Python
SAP Cloud Platform
Snowflake
YeeroAI

Integrations

Amazon Web Services (AWS)
Databricks
DeepSeek R1
GitHub
Google Cloud Platform
Hugging Face
LLaMA-Factory
Microsoft Azure
Model Context Protocol (MCP)
ModelScope
NVIDIA DRIVE
Python
SAP Cloud Platform
Snowflake
YeeroAI
Claim TabPFN-3.5 and update features and information
Claim TabPFN-3.5 and update features and information
Claim Yi-Large and update features and information
Claim Yi-Large and update features and information