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Learner Reviews & Feedback for Generative AI Advance Fine-Tuning for LLMs by IBM

4.0
stars
42 ratings

About the Course

Fine-tuning a large language model (LLM) is crucial for aligning it with specific business needs, enhancing accuracy, and optimizing its performance. In turn, this gives businesses precise, actionable insights that drive efficiency and innovation. This course gives aspiring gen AI engineers valuable fine-tuning skills employers are actively seeking. During this course, you’ll explore different approaches to fine-tuning and causal LLMs with human feedback and direct preference. You’ll look at LLMs as policies for probability distributions for generating responses and the concepts of instruction-tuning with Hugging Face. You’ll learn to calculate rewards using human feedback and reward modeling with Hugging Face. Plus, you’ll explore reinforcement learning from human feedback (RLHF), proximal policy optimization (PPO) and PPO Trainer, and optimal solutions for direct preference optimization (DPO) problems. As you learn, you’ll get valuable hands-on experience in online labs where you’ll work on reward modeling, PPO, and DPO. If you’re looking to add in-demand capabilities in fine-tuning LLMs to your resume, ENROLL TODAY and build the job-ready skills employers are looking for in just two weeks!...
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1 - 18 of 18 Reviews for Generative AI Advance Fine-Tuning for LLMs

By Rafael V

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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.

By Bevan J

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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.

By Abderrazagh M

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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. ...

By Niveditha

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Mar 11, 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

By Rao N N

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Mar 11, 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.

By Sowmyaa G

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Mar 11, 2025

An excellent course with a wealth of high-quality material, featuring highly informative lessons such as DPO and PPO.

By Monika S

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Mar 11, 2025

The course gave me a good understanding of fine-tuning LLMs. It made complex topics easy to learn.

By Anita v

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Mar 11, 2025

Very Informative – Covers advanced fine-tuning techniques in a clear and structured way

By Geetika P

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Mar 11, 2025

Great course, love the deep-rooted content. All my concepts are so clear now. Kudos!!

By LO W

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Nov 21, 2024

Latest fine tuning techniques are presented in an easy-to-understand way

By Yevhen S

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Dec 28, 2024

Greate for the people, who wants to build an actual AI

By Pooja P

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Mar 11, 2025

Great course, very helpful

By Manvi G

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Mar 11, 2025

Amazing content!!

By lavanya s

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Mar 11, 2025

Excellent course

By khushbu v

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Mar 11, 2025

Great course!!

By Julian G

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Oct 4, 2024

Great course

By Sathya P

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Mar 11, 2025

Good course

By raul v r

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Oct 21, 2024

Good content. Improvable documentation.