Fine Tuning LLM Models – Generative AI Course
Taha GÖÇER
About this course
This comprehensive crash course equips learners with the skills to fine-tune large language models (LLMs) using techniques like quantization, Laura CLA, and PFT. Through a blend of theoretical insights and practical projects utilizing Hugging Face's open-source models, participants will gain hands-on experience in fine-tuning LLMs using custom datasets and learn essential concepts that are highly sought after in the AI job market.
What you should already know
Familiarity with machine learning concepts and frameworks is recommended prior to starting this course.
What you will learn
By the end of the course, learners can expect to confidently fine-tune LLM models, implement quantization techniques, and develop end-to-end solutions for various generative AI applications.