Fine toning helps you become a master and professional in AI engineering.
We have just posted a course on the Frecodecamp.com on the YouTube channel that offers a comprehensive guide to fixing LLMS, making you from the basics to modern practical applications. It has been taught by Tatio for more than seven years in data science, data engineering, and AI engineering. He is also the CEO of the lunar tech.
Throughout the course, you will learn the key differences between fine toning, pre -training, and quick engineering, and dive into powerful ways such as fine toning and reinforcement with human impression (RLHF). This course also teaches about Chlora, a revolutionary technique that allows you to improve large -scale models like Lama 70B at the domestic work station.
The parts included in this course are:
What is fine toning and how is it different?
Method
Parameter deep divers in effective Fine Toning
Qlora search: a revolutionary method
Practical Case Studies
Introduction to the instructor
Sketch of the course (more detail)
Specifications of the course: Parameter Effective Fine Toning
Who is this course for?
Module 1: Introduction to OK Toning
The benefits of fine toning
First Part: Fine Tuning LLMS Module
Fine toning allocated in LLM Life Cycle
Pre -trained vs. fine tone model
To understand shortcomings and specialty
Fine toning effect example: chat boot
The formal definition of fine toning
Fine toning examples: Doctor and lawyer
Pre -Training vs. fine toning
Instant engineering vs fine toning
Instant engineering vs Fine toning profession and compatible
Fine toning benefits and demerits
Stepped fine toning process
View the full course Freecodecamp.org YouTube channel (2 hours clock)