Udemy – LLM Fine Tuning Fundamentals + Fine tune OpenAI GPT model 2024-7

LLM Fine Tuning Fundamentals + Fine tune OpenAI GPT model course. Large-scale linguistic models (LLM) have revolutionized the AI ​​industry, providing unprecedented accuracy and expanding the possibilities of AI. However, pre-trained LLMs may not always meet the specific needs of an organization, so there is always a need to fine-tune LLMs to adapt these models to your unique tasks and needs. This comprehensive course is designed to equip you with the LLM fine-tuning technique skills. This course begins with a comprehensive introduction to the basics of fine-tuning while emphasizing its critical role in fitting LLM models to your specific data. We then move on to hands-on sessions that cover the entire fine-tuning workflow for fine-tuning the OpenAI GPT model. Through hands-on sessions, you’ll learn step-by-step how to prepare and format data, run OpenAI fine-tuning processes, and evaluate model results. At the end of this course, you will be proficient in fine-tuning OpenAI’s GPT model to meet specific organizational needs and can begin your professional journey as an LLM Tuning Engineer.

What you will learn in the course

• Explore the basics of LLM and LLM fine-tuning including: why fine-tuning is needed, how it works, applications, etc.
• Learn the complete workflow, architecture, and essential steps involved in fine-tuning large language models (LLM).
• Various types of LLM fine-tuning techniques including RLHF, PEFT, LoRA, QLoRA, standard, sequential and instruction-based fine-tuning.
• Get a comprehensive guide to the OpenAI Dashboard and Playground for a comprehensive understanding of the wide range of tools OpenAI offers for generative AI.
• Prepare data according to OpenAI’s accepted JSONL format for fine-tuning GPT models, while accounting for the cost of fine-tuning in advance.
• Step-by-step learning through hands-on sessions on how to fine-tune OpenAI’s GPT model on a custom dataset using Python.
• Evaluate and compare the adjusted model with the baseline pre-trained GPT model to evaluate improvements in accuracy and performance.
• Discover the best practices for fine-tuning your LLM.

This course is suitable for people who

• Data scientists who want to learn the basics of fine-tuning the LLM.
• OpenAI users who want to fine-tune OpenAI GPT models with custom data.
• Machine learning engineers who want to enter the LLM field.
• Productive artificial intelligence engineers.

Specifications of the course LLM Fine Tuning Fundamentals + Fine tune OpenAI GPT model

• Publisher:  Udemy
• Lecturer:  J Garg – Real Time Learning
• Training level: beginner to advanced
• Training duration: 3 hours and 17 minutes
• Number of courses: 24

Course topics on 8/2024

Prerequisites of the course LLM Fine Tuning Fundamentals + Fine tune OpenAI GPT model

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