Udemy – 2025 Fine Tuning LLM with Hugging Face Transformers for NLP 2024-12

Apr 18, 2025 - 08:51

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2024 Fine Tuning LLM with Hugging Face Transformers for NLP. This tutorial teaches you how to tune Large Language Models (LLM) using the Hugging Face Transformers library for natural language processing (NLP) tasks. In this course, which is a comprehensive and practical course designed for all levels, from beginners to advanced experts in natural language processing. This course delves deep into the world of transformer models, fine-tuning techniques, and knowledge distillation, with a special focus on popular BERT variants such as Phi2, LLAMA, T5, BERT, DistilBERT, MobileBERT, and TinyBERT.

What you will learn

Understanding transformers and their role in NLP
Hands-on experience with Hugging Face Transformers
Familiarity with data sets and related evaluation criteria
Fine tuning transformers for text classification, question and answer, natural language inference, text summarization and machine translation.
Understanding the principles of transformer fine tuning
Applying transformer fine-tuning to real NLP problems
Familiarity with different types of transformers such as BERT, GPT-2 and T5
Hands-on experience with the Hugging Face Transformers library

This course is suitable for people who

NLP Professionals: This course is designed for NLP professionals who want to learn how to fine-tune pre-trained transformer models to achieve superior results in a wide range of NLP tasks.
Researchers: This course is also designed for researchers interested in exploring the potential of transformer fine-tuning for new NLP applications.
Students: This course is suitable for students who have taken an introductory NLP course and want to deepen their understanding of transformer models and their application to real-world NLP problems.
Developers: This course is useful for developers who want to incorporate transformer fine-tuning into their NLP applications.
Enthusiasts: This course is accessible to enthusiasts who are interested in learning about transformer fine tuning and applying it to personal projects.

Course Details 2024 Fine Tuning LLM with Hugging Face Transformers for NLP

Publisher: Udemy
Lecturer: Laxmi Kant KGP Talkie
Training level: beginner to advanced
Training duration: 16 hours and 30 minutes
Number of courses: 141

Course topics

Fine Tuning LLM with Hugging Face Transformers for NLP

Course prerequisites

Basic understanding of natural language processing (NLP)
Basic programming skills
Familiarity with machine learning concepts
Access to a computer with a GPU

Course images

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

Subtitle: English

Quality: 720p

Changes:

Version 2024/8 has increased the number of 40 lessons and the duration of 4 hours and 16 minutes compared to 2024/6. English subtitles have also been added to the course.

The 2024/12 version has increased the duration by 5 minutes compared to the 2024/8 version.

Udemy – 2025 Fine Tuning LLM with Hugging Face Transformers for NLP 2024-12