Udemy – Custom Fine-Tuning GPT-2 & StarCoder in PyTorch for Chatbots 2024-6

During this course, you will gain hands-on experience with the fundamentals of transformer technology, starting with the basics of fine-tuning techniques and progressing to the complex process of custom dataset preparation. You will learn to effectively fine-tune and configure models to handle real-world conversational flows and engage users with context-aware interactions. This course also covers the critical aspects of implementing a training loop, optimizing model parameters, and bringing your chatbot to life in a real-time environment.

What you will learn

• Mastery of basic PyTorch for fine-tuning GPT-2 and StarCoder 2 for chat applications.
• Designing and preparing custom datasets for training dialog models.
• Implementation of training loops, data set management and model performance optimization.
• Using trained models to generate real-time, context-aware dialogs.
• Apply fine-tuning techniques in different areas and models.

This course is suitable for people who

• Data Scientists and Machine Learning Enthusiasts: Professionals who have a basic knowledge of machine learning and wish to expand their expertise in natural language processing and conversational AI.
• Software Developers: Programmers and developers who want to integrate AI-based chat capabilities into their apps and need to understand the underlying technology for effective customization.
• Computer Science Students: University or college students studying computer science, artificial intelligence, or related fields who are interested in applying theoretical knowledge to real-world projects, particularly in improving user interaction through artificial intelligence.

Installation guide

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