Generative AI Engineering and Fine-Tuning Transformers

The demand for technical generative AI (GenAI) skills is increasing, and businesses are actively seeking AI engineers who can work with large language models (LLMs). This IBM course is designed to build job-ready skills that can accelerate your AI career. In this course, you’ll explore transformers and key model frameworks and platforms, including Hugging Face and PyTorch. You’ll begin with a foundational framework for optimizing LLMs and quickly advance to fine-tuning generative AI models. You

• Sought-after, job-ready skills businesses need for working with transformer-based LLMs in generative AI engineering
• How to perform parameter-efficient fine-tuning (PEFT) using methods like LoRA and QLoRA to optimize model training
• How to use pretrained transformer models for language tasks and fine-tune them for specific downstream applications
• How to load models, run inference, and train models using the Hugging Face and PyTorch frameworks