LLM Fine Tuning Fundamentals + Fine tune OpenAI GPT model
Learn the fundamentals of LLM and LLM Fine Tuning. Hands-On sessions to Fine tune OpenAI GPT model with custom data.
4.47 (126 reviews)
843
students
3.5 hours
content
Sep 2024
last update
$69.99
regular price
What you will learn
Explore the fundamentals of LLM and LLM Fine tuning including - Why Fine tuning is needed, How it works, Applications, etc.
Learn the complete workflow, architecture, essential steps involved for Fine tuning Large language models (LLMs).
Different types of LLM Fine tuning techniques including RLHF, PEFT, LoRA, QLoRA, Standard, Sequential and Instructions based LLM Fine tuning.
Get a comprehensive walkthrough of OpenAI Dashboard and Playground to get a holistic understanding of wide range of tools that OpenAI offers for Generative AI.
Prepare the dataset as per OpenAI accepted JSONL format for Fine-tuning GPT models, while also calculating the fine-tuning cost in advance.
Learn step-by-step through Hands-on sessions on how to fine tune OpenAI's GPT model on custom dataset using Python.
Evaluate and compare the fine tune model with the base pre-trained GPT model to to assess improvements in accuracy and performance.
Discover Best practices for LLM fine-tuning.
Screenshots
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udemy ID
8/15/2024
course created date
8/22/2024
course indexed date
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