Home-Grown Large Language Models
The United Arab Emirates (UAE) has recently contributed significantly to natural language processing by developing Falcon 40B and Falcon 7B, two large language models (LLMs) with 40 billion and 7 billion parameters, respectively.
The Technology Innovation Institute (TII) in Abu Dhabi created these models, the first open-source LLMs developed in the UAE.
Falcon 40B and Falcon 7B were trained on one trillion tokens using custom tooling and a unique data pipeline that extracts high-quality content from web data for training.
It is freely available for research and commercial use under the Apache 2.0 license.
Falcon 40B/7B has generated tremendous global interest and intrigue, ranking #1 on Hugging Face’s Open Large Language Model (LLM) Leaderboard.
The architecture of these models was optimized for performance and efficiency, allowing them to outperform other LLMs while using less computational resources significantly.
Using these models can prove advantageous for tasks related to natural language processing, such as generating text, translating languages, and answering questions.
AI models can be optimized for specific datasets to enhance their effectiveness in completing particular assignments.
In summary, Falcon 40B and Falcon 7B represent a significant achievement for the UAE in natural language processing. These models offer state-of-the-art performance and are freely available for research and commercial use.
It will be fascinating to observe how these models are utilized and the novel capabilities they bring as research progresses.
