Silo AI specializes in low-resource languages, applying techniques like optimizing model architectures and incorporating translated pairs to bridge the data gap for AI models.
By expanding parameters to 7B, 13B, and 33B, the Viking model family aims to enhance understanding and output nuances, though requiring more computational resources and higher costs.
Collection
[
|
...
]