Here’s a quick explainer on fine-tuning, distillation, and quantization - using LEGO® bricks 🧱 🟢 Fine-tuning: specialize a pretrained model with new data. 🟠 Distillation: train a student model to learn from a teacher. 🟡 Quantization: use lower-precision weights to reduce memory and bandwidth use. Video below 👇 More detail: sujee.dev/post/fine-tuning-d… What should I explain next with LEGO: LoRA, pruning, or speculative decoding? Drop your vote in the comments 👇