For the past week, the term “distillation” has been tormenting my mind. Below, I share my understanding in chronological order. Day One: First Encounter with “Distillation” While interpreting technologies like DeepSeek and ChatGPT, the term “distillation” kept surfacing. It refers to transferring knowledge from a large, powerful “teacher model” to a lighter, faster “student model.”…
As large models enter the “deployment phase,” the true differentiators are no longer just the number of parameters in the model, but how to deploy them effectively, reliably, affordably, and accurately.Distillation, quantization, fine-tuning, and RAG (Retrieval-Augmented Generation) are precisely the four key engineering techniques for deploying large models today.Below, we’ll explain it all clearly using…
In my previous article, “In the GEO Era, Traffic Is No Longer King,” I proposed a perspective: In the AI era, traffic-centric thinking is giving way to brand-centric thinking. The most common question in the comments section was:How exactly can my brand get recommended by AI?Breaking this down into two more specific questions:1.For my brand,…
ChatGPT vs Perplexity vs Claude — In-Depth Comparison in 2025 With the rapid advancement of generative AI, intelligent assistants such as ChatGPT, Perplexity, and Claude have become essential tools for users worldwide to access information, complete tasks, and create content. While all belong to the large language model (LLM) ecosystem, they differ in positioning, functionality,…
