学生对 IBM 提供的 Generative AI Advance Fine-Tuning for LLMs 的评价和反馈
课程概述
热门审阅
RN
Mar 10, 2025
This course is a great resource for learners, providing deep insights and practical skills in fine-tuning large language models for advanced AI applications.
SG
Aug 20, 2025
An excellent course with a wealth of high-quality material, featuring highly informative lessons such as DPO and PPO.
1 - Generative AI Advance Fine-Tuning for LLMs 的 22 个评论(共 22 个)
创建者 Rafael V
•Jan 5, 2025
There were many typos and issues with the code in the labs that needed to be troubleshooted independently to get them to run properly.
创建者 Abderrazagh M
•Oct 30, 2024
Sharing hugging face web page without any other content might be more interesting than the provided content: brief notion without clear and concise explantion or intuition, a lot formula without clear demonstrations, etc. ...
创建者 Bevan J
•Nov 26, 2024
The videos lacked a consistent storyline, and the mathematics was poorly presented -> Showing steps is better than abusing Manim to make nice animations.
创建者 Conor J C
•Aug 10, 2025
Bad experience. Far to much technical jargon resulting in a frustrating experience. Not recommended.
创建者 Niveditha
•Aug 21, 2025
Generative AI: Advanced Fine-Tuning for LLMs is an outstanding course that dives deep into the intricacies of customizing large language models. With a strong focus on practical implementation, it covers advanced fine-tuning techniques, optimization strategies, and real-world applications. Ideal for AI practitioners looking to enhance model performance, this course balances theory with hands-on labs, making complex concepts accessible and actionable
创建者 Rao N N
•Mar 10, 2025
This course is a great resource for learners, providing deep insights and practical skills in fine-tuning large language models for advanced AI applications.
创建者 Sowmyaa G
•Aug 21, 2025
An excellent course with a wealth of high-quality material, featuring highly informative lessons such as DPO and PPO.
创建者 Monika S
•Mar 10, 2025
The course gave me a good understanding of fine-tuning LLMs. It made complex topics easy to learn.
创建者 Anita v
•Mar 10, 2025
Very Informative – Covers advanced fine-tuning techniques in a clear and structured way
创建者 Geetika P
•Mar 10, 2025
Great course, love the deep-rooted content. All my concepts are so clear now. Kudos!!
创建者 LO W
•Nov 21, 2024
Latest fine tuning techniques are presented in an easy-to-understand way
创建者 Yevhen S
•Dec 28, 2024
Greate for the people, who wants to build an actual AI
创建者 Santiago M
•Aug 7, 2025
Estupendo para meterse de lleno en el mundo de la IA
创建者 Pooja P
•Mar 10, 2025
Great course, very helpful
创建者 Manvi G
•Mar 10, 2025
Amazing content!!
创建者 lavanya s
•Mar 10, 2025
Excellent course
创建者 khushbu v
•Mar 10, 2025
Great course!!
创建者 Julian G
•Oct 4, 2024
Great course
创建者 Shaniki S
•Sep 25, 2025
Cool Course
创建者 Sathya P
•Aug 21, 2025
Good course
创建者 raul v r
•Oct 21, 2024
Good content. Improvable documentation.
创建者 Csaba Z
•Aug 2, 2025
The material in this course is quite useful. It is clear, however, that the author's first language is not English. There are many sentences in the material that are poorly structured and hard to understand as a result. There are also some very poor questions in the quizzes. There is one particular question that asks us to select one of four Python commands that need to be called first to accomplish a task. The problem is that in reality, any of the choices are valid as the first command. So this question asks us to read the author's mind.