AI Engineering: Fine-Tuning LLMs
AI Engineering: Fine-Tuning LLMs
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 1h 35m | 343 MB
Instructor: Diogo Resende
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 1h 35m | 343 MB
Instructor: Diogo Resende
Master the art of fine-tuning GPT models with this hands-on AI engineering course. Learn to adapt large language models to your needs and build smarter, more personalized AI tools.
What you'll learn
- Customizing LLMs for your own purposes whether you're in finance, law, tech, or anything else
- How to prepare datasets for LLM fine-tuning
- The training process behind GPT models and how they learn
- Fine-tuning GPT models using OpenAI's API
- Prompt engineering vs fine-tuning: when to use each
- Creating targeted, personalized outputs from GPTs
If you're into AI that actually does stuff - not just talks about it - this byte-sized course is for you.
Fine-tuning a GPT model isn’t just about tweaking settings…it’s about shaping an AI model to work for your specific purposes.
Whether you're building smarter chatbots, personalized tutoring systems, or custom content generators, this course gives you the tools to make it happen through fine-tuning your own custom AI model. You’ll learn how to prep data, structure your training workflow, and evaluate your results like a pro.
No vague theory here. Just practical, modern AI engineering skills you can use right away.
AI Engineering: Fine-Tuning LLMs
