AI models aren’t just answering questions anymore. They’re spending more computation to reason before they answer. But what actually makes a model a reasoning model? I’m starting a new series: Build a Reasoning Model From Scratch — following Sebastian Raschka’s Build a Reasoning Model From Scratch. In Day 1, we break down: 🧠 What “reasoning” actually means for an LLM ⚙️ The pretraining → post-training foundation 🔬 3 ways to improve reasoning: → Inference-time scaling → Reinforcement learning → Distillation 🤖 Why reasoning matters for AI agents 💰 And the trade-off: more reasoning can mean more tokens, latency, and cost The goal isn’t just to understand reasoning models. We’re going to build one. From scratch. Follow along for Day 2. 👀 #ReasoningModels #LLMFromScratch #AIEngineering #MachineLearning #DeepLearning LLM AIEngineering ChainOfThought DeepSeekR1 BuildInPublic GenerativeAI AIAgents