Reading up on Qwen 3

Building AI agents reveals nine lessons including using best models for prototyping, fine-tuning for stable tasks, static typing to reduce hallucinated code, and closed-loop prompt optimization.

Deep Think with Confidence (DeepConf) uses model confidence signals to filter low-quality reasoning traces, achieving up to 99.9% accuracy on AIME 2025 with 84.7% fewer tokens.