This section reviews the main milestones in the evolution of large language models that operate in multiple languages, incorporating neural machine translation (NMT) technologies and mixture-of-experts (MoE) architectures, along with the evolution of online LLMs
These advances lay the foundation for the SUTRA proposal, which redefines the efficiency and adaptability of LLMs, enabling real-time responses and optimizing computational resources
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