Back to Finetuning Large Language Models
Learner Reviews & Feedback for Finetuning Large Language Models by DeepLearning.AI
593 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
LK
Oct 26, 2025
really good course to get started and understand what actually finetuning is, and why do we need it. it is structured pretty well
AD
Jul 10, 2025
The knowledge acquired in the course will be very helpful to me on my field.
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76 - 78 of 78 Reviews for Finetuning Large Language Models
By Ahmed S
•Aug 22, 2024
I wish if it was more interactive. I wish if there were a part where I could write my own code
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?