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学生对 IBM 提供的 Generative AI Advance Fine-Tuning for LLMs 的评价和反馈

4.3
92 个评分

课程概述

"Fine-tuning large language models (LLMs) is essential for aligning them with specific business needs, improving accuracy, and optimizing performance. In today’s AI-driven world, organizations rely on fine-tuned models to generate precise, actionable insights that drive innovation and efficiency. This course equips aspiring generative AI engineers with the in-demand skills employers are actively seeking. You’ll explore advanced fine-tuning techniques for causal LLMs, including instruction tuning, reward modeling, and direct preference optimization. Learn how LLMs act as probabilistic policies for generating responses and how to align them with human preferences using tools such as Hugging Face. You’ll dive into reward calculation, reinforcement learning from human feedback (RLHF), proximal policy optimization (PPO), the PPO trainer, and optimal strategies for direct preference optimization (DPO). The hands-on labs in the course will provide real-world experience with instruction tuning, reward modeling, PPO, and DPO, giving you the tools to confidently fine-tune LLMs for high-impact applications. Build job-ready generative AI skills in just two weeks! Enroll today and advance your career in AI!"...

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.

筛选依据:

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.