Posts by Tomas Saaristola
Adapting AIM LLMs For Specific Use Cases Through Fine-Tuning in AMD AI Workbench
- 03 June 2026
In this blog, you will learn how to fine-tune a pre-trained Large Language Model (LLM) with AMD AI Workbench without writing a single line of code and then deploy it using AMD Inference Microservices (AIMs). Rather than training a model from scratch, fine-tuning allows you to adapt a pre-trained model to your specific use case. In addition, AIMs provide standardized, portable inference microservices for serving AI models. AIMs abstract away the complexities involved in model serving by providing an intelligent orchestration layer that automatically configures runtime environments, detects available accelerators, and selects an optimized performance profile (configuration parameters for the inference engine).