How to Hack a Large Language Model Using PyReft - Fine-Tuning with Custom Data
Offered By: Nicholas Renotte via YouTube
Course Description
Overview
Learn how to fine-tune a large language model using PyReft and your own data in this comprehensive 41-minute tutorial video. Explore the process of "hacking" an LLM by customizing it with personal datasets, enhancing its performance for specific tasks. Gain hands-on experience with PyReft, a powerful tool for fine-tuning language models. Discover practical techniques for improving model accuracy and relevance through custom data integration. Follow along with step-by-step instructions and access the provided GitHub repository for code examples. Enhance your machine learning skills and unlock new possibilities in natural language processing and AI development.
Syllabus
How to hack a LLM using PyReft (using your own data for Fine Tuning!)
Taught by
Nicholas Renotte
Related Courses
Introduction to Agile Software Development: Tools & TechniquesUniversity of California, Berkeley via edX Advanced Topics and Techniques in Agile Software Development
University of California, Berkeley via edX The Data Scientist’s Toolbox
Johns Hopkins University via Coursera How to Use Git and GitHub
Udacity Desarrollo de Videojuegos 3D en Unity: Una Introducción
Universidad de los Andes via Coursera