https://thecodersblog.com/tag/vllm/Recent content in VLLM on The Coders BlogHugoen-usFri, 08 May 2026 08:31:08 +0000https://thecodersblog.com/vllm-v0-to-v1-correctness-before-corrections-in-rl-2026/Fri, 08 May 2026 08:31:08 +0000https://thecodersblog.com/vllm-v0-to-v1-correctness-before-corrections-in-rl-2026/<p>The pursuit of more capable and reliable Large Language Models (LLMs) has driven a relentless pace of innovation in their training and deployment infrastructure. Among the most exciting advancements is the integration of Reinforcement Learning (RL) to fine-tune LLMs, moving beyond simple supervised learning to imbue them with nuanced behaviors, ethical alignment, and sophisticated reasoning abilities. However, the journey from a functional inference engine to a robust RL training environment is fraught with peril. This is precisely where the recent evolution of vLLM, from its V0 to V1 architecture, offers a critical lesson: correctness in the fundamental mechanics of inference must precede algorithmic &ldquo;corrections&rdquo; in RL, especially when dealing with the sensitive calculations that underpin policy updates.</p>