Can automated classification effectively distinguish real-world, production-grade LLM implementations from theoretical discussions? Follow my journey building a reliable LLMOps classification pipeline—moving from manual reviews, through prompt-engineered approaches, to fine-tuning ModernBERT. Discover practical insights, unexpected findings, and why a smaller fine-tuned model proved superior for fast, accurate, and scalable classification.
Learn how to build, fine-tune, and deploy multimodal LLMs using ZenML. Explore LLMOps best practices for deployment, real-time inference and model management.
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