NANDA is a 13 billion-parametre model, trained on approximately 2.13 trillion tokens of language data, with a strong focus on Hindi
Aramco noted that its deployment of supercomputing infrastructure supports development of AI solutions
Developed through training on 370 billion tokens – 330 billion of which are Arabic – the new LLM represents the largest Arabic dataset ever used for an open-source foundational model
Transparency is essential for AI applications, as it enables users to comprehend how AI systems reach their conclusions
At its core lies Jais 30B, touted as the world’s most performant Arabic Large Language Model
From signing on new clients to displaying its expertise in the green transition, Tech Mahindra made the most of its time in Barcelona