You picked the right kind of AI yesterday. Today: picking a good one. Every model trades off speed, accuracy, size, cost, and privacy — you usually get to pick two or three, not all. And with cameras and faces, being a responsible builder matters most of all. Last mission of Module 1!
Four models on the shelf. Each mission cares about different things. Pick the smart buy!
⚡fast 🔒private 💲cheap · 🎯 lower accuracy
good all-round, still private
🎯super accurate · 🐢slow 🌐needs net 💸costs 👀sends data away
instant, free, private · only for simple jobs
The best engineers protect people. Cameras, faces, and personal data need extra care. Make the responsible choice:
Picking a model from the shop is the idea. Here's how pros make models fast and small:
✅ Shows the tradeoff. ⚠️ Real life needs more tricks.
Quantization (smaller numbers), pruning (cut unused parts), distillation (a small model copies a big one).
ONNX, TensorFlow Lite, Core ML, TensorRT run models fast on phones and edge devices.
All 16 days! You went from "a photo is just numbers" to training AIs, scoring them, detecting and segmenting, YOLO, and building real projects with smart, responsible decisions. You're a true AI Engineer-in-training. 🚀