
During July 2025, Kevin Clarke developed and delivered the Azure AI Foundry Lab Guide for GPT Fine-Tuning within the Azure/WPLUS-Azure-AI-Platform-and-Services repository. He designed comprehensive documentation in Markdown to guide users through resource setup, fine-tuning job configuration, and model deployment using the Azure AI Foundry Dashboard. By providing two sample datasets in JSON format for training and validation, Kevin enabled hands-on lab exercises that support rapid onboarding and reproducibility. His work focused on Azure AI, GPT model fine-tuning, and technical documentation, resulting in a foundational feature that streamlines end-to-end generative AI workflows for new users of the platform.

July 2025: Delivered Azure AI Foundry Lab Guide for GPT Fine-Tuning in the Azure/WPLUS-Azure-AI-Platform-and-Services repo. The guide enables end-to-end fine-tuning via the Foundry Dashboard, including resource setup, fine-tuning job configuration, and deployment. It includes two sample datasets (training and validation) to facilitate hands-on lab exercises, enabling rapid onboarding and reproducibility. This foundational feature strengthens the platform's GPT fine-tuning story and accelerates time-to-value for users onboarding to generative AI workflows.
July 2025: Delivered Azure AI Foundry Lab Guide for GPT Fine-Tuning in the Azure/WPLUS-Azure-AI-Platform-and-Services repo. The guide enables end-to-end fine-tuning via the Foundry Dashboard, including resource setup, fine-tuning job configuration, and deployment. It includes two sample datasets (training and validation) to facilitate hands-on lab exercises, enabling rapid onboarding and reproducibility. This foundational feature strengthens the platform's GPT fine-tuning story and accelerates time-to-value for users onboarding to generative AI workflows.
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