How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and Inference

With the recent explosion of interest in large language models (LLMs), they often seem almost magical. But let’s demystify them. I wanted to step back and unpack the fundamentals — breaking down how LLMs are built, trained, and fine-tuned to become the AI systems we interact with today. This two-part deep dive is something I’ve been meaning […]

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