--- title: Model Optimization in Microsoft Foundry: Deployment and... description: A walkthrough of model optimization in Microsoft Azure AI Foundry covering three key areas: evaluation, deployment, and cost management. Evaluation uses a... canonical: https://daily.dev/posts/model-optimization-in-microsoft-foundry-deployment-and-evaluations-vy94xxlqg twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Model Optimization in Microsoft Foundry: Deployment and Evaluations | daily.dev og:description: A walkthrough of model optimization in Microsoft Azure AI Foundry covering three key areas: evaluation, deployment, and cost management. Evaluation uses a... og:url: https://daily.dev/posts/model-optimization-in-microsoft-foundry-deployment-and-evaluations-vy94xxlqg og:image: https://api.daily.dev/og/posts/vy94XXlQg.png og:image:alt: Model Optimization in Microsoft Foundry: Deployment and Evaluations 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. # Model Optimization in Microsoft Foundry: Deployment and Evaluations **[Microsoft Developer](https://daily.dev/sources/microsoftdeveloper)** · 6 min read · 1 upvotes · 0 comments ## Summary A walkthrough of model optimization in Microsoft Azure AI Foundry covering three key areas: evaluation, deployment, and cost management. Evaluation uses a custom Python grader with precision, recall, and F1 score to compare GPT-4.1, GPT-4.1 mini, and a fine-tuned model on agentic tool calling tasks, showing a ~6% improvement after fine-tuning. Deployment options include global, regional, and developer tier (free but limited to 24 hours). Cost considerations cover training tokens, hosting charges, and regional pricing differences for both supervised fine-tuning and reinforcement fine-tuning models. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [A Developer's Guide to Fine-Tuning GPT-4o for Image Classification on Azure AI Foundry \| Azure AI Foundry Blog](https://daily.dev/posts/a-developer-s-guide-to-fine-tuning-gpt-4o-for-image-classification-on-azure-ai-foundry-azure-ai-fo-ru2ucd4tj) · DevBlogs · 0 upvotes · 0 comments --- Tags: [#data-science](https://daily.dev/tags/data-science), [#azure](https://daily.dev/tags/azure), [#llm](https://daily.dev/tags/llm), [#deep-learning](https://daily.dev/tags/deep-learning), [#azure-openai](https://daily.dev/tags/azure-openai) [View this post on daily.dev](https://daily.dev/posts/model-optimization-in-microsoft-foundry-deployment-and-evaluations-vy94xxlqg) ```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":"Model Optimization in Microsoft Foundry: Deployment and Evaluations","url":"https://daily.dev/posts/model-optimization-in-microsoft-foundry-deployment-and-evaluations-vy94xxlqg","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/model-optimization-in-microsoft-foundry-deployment-and-evaluations-vy94xxlqg"},"datePublished":"2026-03-19T18:04:17.427Z","dateModified":"2026-03-19T18:04:35.257Z","description":"A walkthrough of model optimization in Microsoft Azure AI Foundry covering three key areas: evaluation, deployment, and cost management. Evaluation uses a...","image":"https://i.ytimg.com/vi/6awzUxeG-b0/sddefault.jpg","thumbnailUrl":"https://i.ytimg.com/vi/6awzUxeG-b0/sddefault.jpg","isAccessibleForFree":true,"articleSection":"Microsoft 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":"Microsoft Developer","logo":"https://media.daily.dev/image/upload/s--xZzU3zUq--/f_auto/v1746714872/logos/microsoftdeveloper","url":"https://daily.dev/sources/microsoftdeveloper"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/model-optimization-in-microsoft-foundry-deployment-and-evaluations-vy94xxlqg","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"data-science,azure,llm,deep-learning,azure-openai","timeRequired":"PT6M","video":{"@type":"VideoObject","name":"Model Optimization in Microsoft Foundry: Deployment and Evaluations","description":"A walkthrough of model optimization in Microsoft Azure AI Foundry covering three key areas: evaluation, deployment, and cost management. Evaluation uses a...","thumbnailUrl":"https://i.ytimg.com/vi/6awzUxeG-b0/sddefault.jpg","uploadDate":"2026-03-19T18:04:17.427Z","duration":"PT6M","url":"https://api.daily.dev/r/vy94XXlQg","embedUrl":"https://www.youtube.com/embed/6awzUxeG-b0"}} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Microsoft Developer","item":"https://daily.dev/sources/microsoftdeveloper"},{"@type":"ListItem","position":3,"name":"Model Optimization in Microsoft Foundry: Deployment and Evaluations"}]} ```