Now that I have fine-tuned a model in Part 2, next is to deploy the fine tuned model into a new Kaito workspace. 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 …
I uncover the process and workings of fine-tuning a large language model on a dataset. Scenario for fine-tuning a model can be on corporate data such as a knowledge base, product information, human resources. I walk you through the process and share my detailed observations. What is Fine-tuning a large language model? Involves adjusting a …
Continue reading Deep Dive Into Fine-Tuning An LM Using KAITO on AKS – Part 1: Intro
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
Roy Kim on Azure and AI 