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How to Hack a Large Language Model Using PyReft - Fine-Tuning with Custom Data

Offered By: Nicholas Renotte via YouTube

Tags

Machine Learning Courses GitHub Courses Data Integration Courses Fine-Tuning Courses

Course Description

Overview

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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

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