Machine learning operations (MLOps) is essential for efficient AI development, but large language model operations (LLMOps) are now necessary due to complex AI applications with large language models (LLMs). LLMOps includes managing, orchestrating, governing, and optimizing LLMs, focusing on infrastructure, version control, monitoring, and NLP components. The transition from MLOps to LLMOps is transformative and critical for handling the challenges of massive-scale NLP, enabling advanced AI applications.
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