AI

Falcon 2: An 11B parameter pretrained language model and VLM, trained on over 5000B tokens and 11 languages

Falcon 2 is a new large-scale language model with 11 billion parameters. It was trained on over 5,000 billion tokens and can understand 11 languages. The model's training data includes text from the internet, books, and other sources. Falcon 2 is part of the Hugging Face Transformers library, which provides pre-trained models for natural language processing tasks.
Falcon 2 is a new large-scale language model with 11 billion parameters. It was trained on over 5,000 billion tokens and can understand 11 languages. The model's training data includes text from the internet, books, and other sources. Falcon 2 is part of the Hugging Face Transformers library, which provides pre-trained models for natural language processing tasks. --- Why it matters: This matters to researchers in AI because large-scale language models like Falcon 2 can be used as building blocks for more complex applications, such as chatbots or text generators. Their ability to understand multiple languages also opens up new possibilities for multilingual research and development. Source: https://huggingface.co/blog/falcon2-11b

This article was originally published at: https://huggingface.co/blog/falcon2-11b