Part 3 of an LLMOps course is now available, covering attention mechanisms, transformer architectures, mixture-of-experts, and the fundamentals of pretraining and fine-tuning with hands-on code demos. LLMOps extends traditional MLOps principles to address the unique engineering challenges of managing large language models like
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