Why Four Simple Strategies Now Power All Reasoning LLMs
Sebastian Raschka maps the emerging field of reasoning LLMs, breaking down four core strategies: inference‑time scaling like DeepSeek R1, pure reinforcement learning, supervised fine‑tuning plus RL, and model distillation. He highlights practical benchmarks—DeepSeek’s technical report, Sky‑T1’s $450 training, TinyZero’s 3B‑parameter cheap train—showing how to build high‑performance reasoners on limited budgets.