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Training large models no longer relies solely on raw text; now it's popular to use a "teacher model" to teach a "student model," which is called LLM distillation.
Meta/Google/DeepSeek are all using it, and small models can also inherit the reasoning ability of large models.
Three main approaches broken down, a must-see for tech enthusiasts 👇