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学生对 DeepLearning.AI 提供的 Finetuning Large Language Models 的评价和反馈
552 个评分
课程概述
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.
热门审阅
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.
QA
Jul 24, 2025
I learned overview of LLM finetuning from almost zero and was able to have meaningful discussion with AI tech people e.g. whether to go fore fine-tuning or not, how to gather data for fine-tuning.
筛选依据：
76 - Finetuning Large Language Models 的 78 个评论（共 78 个）
创建者 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
创建者 Jenith P
•Feb 22, 2025
LoRA is not taught in the course.
创建者 Vipul A
•Aug 29, 2024
Slow uploading of notebook. What is Modelrunner?