MALLM
MALLM refers to a family of large language models developed by researchers at Meta (formerly Facebook) as part of their broader efforts in natural language processing and artificial intelligence. The acronym stands for "Multilingual Large Language Model," highlighting its capability to understand and generate text across multiple languages. These models are trained on vast corpora of text data, enabling them to perform a wide range of tasks such as translation, summarization, question answering, and text completion.
The MALLM models are built upon the architecture of transformer-based models, which rely on self-attention mechanisms
One of the key advantages of MALLM is its ability to generalize across diverse linguistic contexts, reducing
MALLM models are often evaluated using benchmarks that assess their performance in tasks like translation quality,