Course
Fine-Tuning and Personlizing LLMs for Engineers
Level: AdvancedUnsloth, Google, Hugging Face
Unsloth2 more
Course Outline
Fine-Tuning LLMs with Synthetic Data for Personalization and Automation
Learning Outcomes
- Learn the fundamentals of fine-tuning large language models (LLMs).
- Create and synthesize data for personalized AI training.
- Explore the use of Hugging Face and Google Gemma for model fine-tuning.
Who Is This Course For?
- Engineers looking to understand how to develop their own models
- Engineers looking to work with small open-source language models
Prerequisites
- Working experience with open-source language models
- Intermediate python experience
- Experience with model deployment or cloud computing infrastructure
LevelAdvanced
Duration4 hrs
ShowcasingUnslothGoogleHugging Face
Your InstructorInstructor
Why Enroll?
- In this hands-on course, engineers will learn the techniques and strategies needed to fine-tune large language models (LLMs) using synthetic data, optimizing them for personalized tasks like automating emails and SMS responses. Leveraging frameworks from Hugging Face and Google's Gemma, this course demonstrates how to clone your personal communication style into AI models. Engineers will walk away with practical knowledge of building highly customized AI tools, turning everyday tasks like email responses into scalable, automated workflows while retaining human-like nuance.