I will continue from the Part 1 to execute the deployment of the fine-tuning workspace job. This blog post is part of a series.Part 1: Intro and overview of the KAITO fine-tuning workspace yamlPart 2: Executing the Training Kubernetes Training JobPart 3: Deploying the Fine-Tuned ModelPart 4: Evaluating the Fine-Tuned Model Let' start the fine …
Continue reading Deep Dive Into Fine-Tuning An LM Using KAITO on AKS – Part 2: Execution
KAITO simplifies the deployment of large language models (LLMs) in Azure Kubernetes Service (AKS) environments with preset GPU configurations. This tool automates the setup process, including node provisioning and identity management, essential for data experiments while ensuring security compliance. It enhances efficiency, allowing engineers to focus on AI/ML model experimentation. #azure #kubernetes #AI #genAI #mvpbuzz
I like to share similarities and differences of two scripts - an Azure PowerShell script and a Python script using the Azure SDK. These two scripts achieve the same azure management result. Hope this article sheds some technical insights by comparing these scripts. The scripts connect to an Azure subscription, create a storage account into …
Continue reading Code Comparison Between Azure PowerShell and Azure SDK for Python
As an Azure engineer, I have used both Azure PowerShell and the Azure SDK for Python to manage and provision Azure resources. I like to share comparisons based on my experience and real work scenarios in the many years engineering and designing for solutions in Azure. Hope this blog post gives some perspective. Azure PowerShell: …
Roy Kim on Azure and AI 