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DeepSeek-R1 Reasoning Model: Principles & CoT Engineering Model Inference Advanced Explore DeepSeek-R1's RL-based training for long chain-of-thought reasoning. Learn CoT prompting, output constraints, temperature tuning, cost control, and evaluation for production. 2026-08 ·38 min read Test-Time Compute Scaling: Reasoning Budgets, Sampling, and Parallel Search Model Inference Advanced Frozen weights plus extra compute has a marginal-return curve nothing like training's. It covers defining and splitting the reasoning budget, parallel sampling with self-consistency, verifier-guided Best-of-N reranking, process reward versus outcome reward, depth-first and breadth-first search topologies, compute-optimal scaling, plus production budget caps and timeouts. 2026-10 ·53 min read Probing Model Capability Limits: Finding What a Model Really Cannot Do Model Inference Advanced Leaderboard scores and business results diverge. Finding limits: derive the eval set from real failures; measure eight separate ceilings (knowledge, reasoning, instructions, long context, consistency, tool use, structured output, refusal); locate breakpoints with perturbations; calibrate the judge model; map them to routing, validation, externalized state, and human fallback. 2026-10 ·42 min read