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Learner Reviews & Feedback for Finetuning Large Language Models by DeepLearning.AI
412 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
BB
Jan 24, 2024
Great workshop for LLM beginners who wants to get hands-on in the same day of LLM fine tuning activities. Great thanks to Dr.Sharon Zhou to make the LLM fine-tuning as simple as train a DNN model.
CG
Jun 29, 2024
An "intro" course that is great for folks with only a little bit of experience in using LLMs. Great start to begin getting into the "good" stuff!
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51 - 52 of 52 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 Vipul A
•Aug 29, 2024
Slow uploading of notebook. What is Modelrunner?