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Learner Reviews & Feedback for Finetuning Large Language Models by DeepLearning.AI
585 ratings
About the Course
In this short course, you’ll learn essential finetuning concepts and how to train a large language model using your own data. You’ll be equipped to incorporate the latest techniques to optimize your model and produce transformative results.
When you complete this course, you will be able to:
Understand when to apply finetuning on LLMs
Prepare your data for finetuning
Train and evaluate an LLM on your data
With finetuning, you’re able to take your own data to train the model on it, and update the weights of the neural nets in the LLM, changing the model compared to other methods like prompt engineering and Retrieval Augmented Generation. Finetuning allows the model to learn style, form, and can update the model with new knowledge to improve results.
Top reviews
AC
Dec 24, 2023
Course was presented well and focused. It was easy to follow Labs notebooks and they worked.
PM
Nov 25, 2023
Great course to learn about fine tuning, what it is, what it can accomplish and what the fundamental steps are in being able to achieve it.
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76 - 77 of 77 Reviews for Finetuning Large Language Models
By Jenith P
•Feb 23, 2025
LoRA is not taught in the course.
By Vipul A
•Aug 29, 2024
Slow uploading of notebook. What is Modelrunner?