# ALLaM

> Arabic Large Language Model developed by SDAIA

**Wikidata**: [Q126019928](https://www.wikidata.org/wiki/Q126019928)  
**Source**: https://4ort.xyz/entity/allam

## Summary

ALLaM was established on May 16, 2023[1].ALLaM's establishment date remains the only known detail about it, which is May 16, 2023[1].

## Summary
ALLaM is an Arabic Large Language Model developed by the Saudi Data and AI Authority (SDAIA). It is designed for natural language generation and conversational AI, specifically tailored for the Arabic language.

## Key Facts
- Developed by the Saudi Data and AI Authority (SDAIA).
- Inception date: May 16, 2023.
- Operated by humain, a Saudi company owned by the Public Investment Fund.
- Licensed under the Apache Software License 2.0.
- Uses supervised learning and reinforcement learning for fabrication.
- Official website: [allam.ai](https://allam.ai) (in Arabic).
- FAQ URL: [allam.ai/support.html](https://allam.ai/support.html) (in Arabic).
- Partnerships with IBM and Nvidia.
- Native label: علّام.
- Country of origin: Saudi Arabia.

## FAQs
### Q: What is ALLaM?
A: ALLaM is an Arabic Large Language Model developed by the Saudi Data and AI Authority (SDAIA). It is designed for natural language generation and conversational AI, specifically tailored for the Arabic language.

### Q: Who operates ALLaM?
A: ALLaM is operated by humain, a Saudi company owned by the Public Investment Fund that focuses on artificial intelligence.

### Q: What is the license for ALLaM?
A: ALLaM is licensed under the Apache Software License 2.0.

### Q: What partnerships does ALLaM have?
A: ALLaM has partnerships with IBM and Nvidia.

### Q: What is the official website for ALLaM?
A: The official website for ALLaM is [allam.ai](https://allam.ai), which is in Arabic.

## Why It Matters
ALLaM represents a significant advancement in natural language processing for the Arabic language. Developed by the Saudi Data and AI Authority (SDAIA), it addresses the need for sophisticated AI models that can understand and generate Arabic text effectively. This model is crucial for applications in conversational AI, text generation, and other AI-driven solutions in Arabic-speaking regions. By leveraging supervised and reinforcement learning, ALLaM aims to provide high-quality, contextually relevant responses, making it a valuable tool for businesses, researchers, and developers working with Arabic language data. Its partnerships with major tech companies like IBM and Nvidia further enhance its capabilities and potential impact.

## Notable For
- Being the first Arabic Large Language Model developed by SDAIA.
- Its focus on natural language generation and conversational AI for the Arabic language.
- Partnerships with IBM and Nvidia, enhancing its technological capabilities.
- Licensed under the Apache Software License 2.0, promoting open-source usage.
- Operated by humain, a company owned by the Public Investment Fund, ensuring strong backing and resources.

## Body
### Development and Inception
ALLaM was developed by the Saudi Data and AI Authority (SDAIA) and was officially launched on May 16, 2023. The model is designed to handle natural language generation and conversational AI tasks, specifically tailored for the Arabic language.

### Operation and Ownership
ALLaM is operated by humain, a Saudi company owned by the Public Investment Fund that focuses on artificial intelligence. This ensures that the model has strong backing and resources for its development and maintenance.

### Licensing and Usage
ALLaM is licensed under the Apache Software License 2.0, which allows for open-source usage and modification. This licensing promotes widespread adoption and collaboration within the AI community.

### Partnerships
ALLaM has established partnerships with major technology companies, including IBM and Nvidia. These partnerships enhance the model's capabilities and provide access to advanced technologies and resources.

### Technical Details
ALLaM uses supervised learning and reinforcement learning for its fabrication. These methods ensure that the model can learn from large datasets and improve its performance over time.

### Official Resources
The official website for ALLaM is [allam.ai](https://allam.ai), which is in Arabic. Additionally, the FAQ section can be found at [allam.ai/support.html](https://allam.ai/support.html), also in Arabic.

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "Thing",
  "name": "ALLaM",
  "description": "Arabic Large Language Model developed by SDAIA",
  "url": "https://allam.ai",
  "sameAs": ["https://www.wikidata.org/wiki/Q12251169"],
  "additionalType": "LargeLanguageModel"
}

## References

1. [Source](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
2. [Saudi Press Agency](https://www.spa.gov.sa/w1902597)
3. [Source](https://allam.ai/)