Large language models (LLMs) have created unprecedented opportunities across various industries. However, moving LLMs from research and development into reliable, scalable, and maintainable production systems presents unique operational challenges. LLMOps, or large language model operations, are designed to address these challenges. Building upon the principles of traditional machine…
]]>Large language models (LLMs) are capable of recognizing, summarizing, translating, predicting, and generating content. Yet even the most powerful LLMs face limitations when working with specialized business knowledge, niche technical domains, or the diverse linguistic and cultural contexts of global operations. Most models labeled as multilingual, for example, are trained mainly in English…
]]>In recent years, large language models (LLMs) have achieved extraordinary progress in areas such as reasoning, code generation, machine translation, and summarization. However, despite their advanced capabilities, foundation models have limitations when it comes to domain-specific expertise such as finance or healthcare or capturing cultural and language nuances beyond English.
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