--- title: GRPO fine-tuning on Red Hat OpenShift AI: Reinforcement... description: A tutorial walks through fine-tuning Qwen3-4B for correct tool-calling behavior using GRPO (Group Relative Policy Optimization), a reinforcement learning... canonical: https://daily.dev/posts/grpo-fine-tuning-on-red-hat-openshift-ai-reinforcement-learning-from-verifiable-rewards-with-traini-7ymbzbq6f twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: GRPO fine-tuning on Red Hat OpenShift AI: Reinforcement learning from verifiable rewards with Training Hub | daily.dev og:description: A tutorial walks through fine-tuning Qwen3-4B for correct tool-calling behavior using GRPO (Group Relative Policy Optimization), a reinforcement learning... og:url: https://daily.dev/posts/grpo-fine-tuning-on-red-hat-openshift-ai-reinforcement-learning-from-verifiable-rewards-with-traini-7ymbzbq6f og:image: https://api.daily.dev/og/posts/7YMbzBq6f.png og:image:alt: GRPO fine-tuning on Red Hat OpenShift AI: Reinforcement learning from verifiable rewards with Training Hub og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # GRPO fine-tuning on Red Hat OpenShift AI: Reinforcement learning from verifiable rewards with Training Hub **[Red Hat Developer](https://daily.dev/sources/rhdev)** · 1 min read · 0 upvotes · 0 comments ## Summary A tutorial walks through fine-tuning Qwen3-4B for correct tool-calling behavior using GRPO (Group Relative Policy Optimization), a reinforcement learning technique that uses verifiable rewards rather than human feedback. The workflow runs on Red Hat OpenShift AI using the Training Hub toolkit, covering setup and execution of a GRPO fine-tuning job in a Kubernetes-based ML platform environment. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Overcoming reward signal challenges: Verifiable rewards-based reinforcement learning with GRPO on SageMaker AI](https://daily.dev/posts/overcoming-reward-signal-challenges-verifiable-rewards-based-reinforcement-learning-with-grpo-on-sa-2m3cparbd) · AWS · 0 upvotes · 0 comments - [Verifiable Rewards and GRPO in RL](https://daily.dev/posts/verifiable-rewards-and-grpo-in-rl-trts1bpii) · Daily Dose of Data Science \| Avi Chawla \| Substack · 0 upvotes · 0 comments - [Mastering Agentic Techniques: AI Agent Reinforcement Learning](https://daily.dev/posts/mastering-agentic-techniques-ai-agent-reinforcement-learning-xsi0iqacc) · NVIDIA Developer · 2 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#kubernetes](https://daily.dev/tags/kubernetes), [#deep-learning](https://daily.dev/tags/deep-learning), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning) [View this post on daily.dev](https://daily.dev/posts/grpo-fine-tuning-on-red-hat-openshift-ai-reinforcement-learning-from-verifiable-rewards-with-traini-7ymbzbq6f) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"GRPO fine-tuning on Red Hat OpenShift AI: Reinforcement learning from verifiable rewards with Training Hub","url":"https://daily.dev/posts/grpo-fine-tuning-on-red-hat-openshift-ai-reinforcement-learning-from-verifiable-rewards-with-traini-7ymbzbq6f","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/grpo-fine-tuning-on-red-hat-openshift-ai-reinforcement-learning-from-verifiable-rewards-with-traini-7ymbzbq6f"},"datePublished":"2026-08-25T03:25:19.679Z","dateModified":"2026-09-14T07:43:09.019Z","description":"A tutorial walks through fine-tuning Qwen3-4B for correct tool-calling behavior using GRPO (Group Relative Policy Optimization), a reinforcement learning...","image":"https://media.daily.dev/image/upload/s--0_ODbtD2--/f_auto/v1722860399/public/Placeholder%2008","thumbnailUrl":"https://media.daily.dev/image/upload/s--0_ODbtD2--/f_auto/v1722860399/public/Placeholder%2008","isAccessibleForFree":true,"articleSection":"Red Hat Developer","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Red Hat Developer","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/2a8895f3216c4900bdc455585a4ad3e4","url":"https://daily.dev/sources/rhdev"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/grpo-fine-tuning-on-red-hat-openshift-ai-reinforcement-learning-from-verifiable-rewards-with-traini-7ymbzbq6f","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,kubernetes,deep-learning,reinforcement-learning","timeRequired":"PT1M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Red Hat Developer","item":"https://daily.dev/sources/rhdev"},{"@type":"ListItem","position":3,"name":"GRPO fine-tuning on Red Hat OpenShift AI: Reinforcement learning from verifiable rewards with Training Hub"}]} ```