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What is Yi-Large?

Yi-Large is a cutting-edge proprietary large language model developed by 01.AI, boasting an impressive context length of 32,000 tokens and a pricing model set at $2 per million tokens for both input and output. Celebrated for its exceptional capabilities in natural language processing, common-sense reasoning, and multilingual support, it stands out in competition with leading models like GPT-4 and Claude3 in diverse assessments. The model excels in complex tasks that demand deep inference, precise prediction, and thorough language understanding, making it particularly suitable for applications such as knowledge retrieval, data classification, and the creation of conversational chatbots that closely resemble human communication. Utilizing a decoder-only transformer architecture, Yi-Large integrates advanced features such as pre-normalization and Group Query Attention, having been trained on a vast, high-quality multilingual dataset to optimize its effectiveness. Its versatility and cost-effective pricing make it a powerful contender in the realm of artificial intelligence, particularly for organizations aiming to adopt AI technologies on a worldwide scale. Furthermore, its adaptability across various applications highlights its potential to transform how businesses utilize language models for an array of requirements, paving the way for innovative solutions in the industry. Thus, Yi-Large not only meets but also exceeds expectations, solidifying its role as a pivotal tool in the advancements of AI-driven communication.

What is TabPFN-3.5?

TabPFN-3.5 represents a cutting-edge foundation model tailored for superior predictions on structured data, proving to be exceptionally valuable for a range of applications including churn analysis, fraud detection, pricing strategies, demand forecasting, and risk assessment, thereby allowing teams to deploy a single model across various use cases. This model efficiently handles data in its native format, managing challenges such as missing values, outliers, categorical variables, multi-table datasets, free text features, and numerous unique identifiers without necessitating any encoding, while also being capable of processing multiple measurements per row. Users benefit from the ability to input raw data directly, eliminating the need for extensive feature engineering or preprocessing, which enables them to receive high-quality, production-ready predictions right after the first prediction call. Significantly, TabPFN-3.5 performs predictions in a single forward pass, achieving an impressive balance between accuracy and speed, and is optimized for rapid inference—a critical aspect for latency-sensitive predictive tasks. Moreover, it can effectively accommodate large datasets of up to one million rows natively and offers an astonishing 20 times faster inference speed compared to earlier versions, marking a significant leap in the domain. This remarkable blend of efficiency, adaptability, and performance establishes TabPFN-3.5 as an invaluable resource for data scientists and organizations aiming to harness structured data to its fullest potential. In addition, the model's user-friendly nature simplifies the workflow, making it accessible for both seasoned experts and those newer to data science.

Media

Media

Integrations Supported

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 Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

$0.19 per 1M input token
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

01.AI

Date Founded

2023

Company Location

China

Company Website

www.01.ai/

Company Facts

Organization Name

Prior Labs

Date Founded

2024

Company Location

Germany

Company Website

priorlabs.ai/tabpfn-3-5

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