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学生对 DeepLearning.AI 提供的 Generative AI with Large Language Models 的评价和反馈

4.8
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3,588 个评分

课程概述

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications. By taking this course, you'll learn to: - Deeply understand generative AI, describing the key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection, to performance evaluation and deployment - Describe in detail the transformer architecture that powers LLMs, how they’re trained, and how fine-tuning enables LLMs to be adapted to a variety of specific use cases - Use empirical scaling laws to optimize the model's objective function across dataset size, compute budget, and inference requirements - Apply state-of-the art training, tuning, inference, tools, and deployment methods to maximize the performance of models within the specific constraints of your project - Discuss the challenges and opportunities that generative AI creates for businesses after hearing stories from industry researchers and practitioners Developers who have a good foundational understanding of how LLMs work, as well the best practices behind training and deploying them, will be able to make good decisions for their companies and more quickly build working prototypes. This course will support learners in building practical intuition about how to best utilize this exciting new technology. This is an intermediate course, so you should have some experience coding in Python to get the most out of it. You should also be familiar with the basics of machine learning, such as supervised and unsupervised learning, loss functions, and splitting data into training, validation, and test sets. If you have taken the Machine Learning Specialization or Deep Learning Specialization from DeepLearning.AI, you’ll be ready to take this course and dive deeper into the fundamentals of generative AI....

热门审阅

C

Jul 10, 2023

A very good course covering many different areas, from use cases, to the mathematical underpinnings and the societal impacts. And having the labs to actually get to play around with the algorithms.

MB

Jan 4, 2024

This course has been an extra addition in enhancing my understanding of the Generative AI project lifecycle, particularly in the context of architecture and implementation strategies.

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651 - Generative AI with Large Language Models 的 675 个评论（共 850 个）

创建者 Oleksandr F

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May 23, 2024

Excellent

创建者 Karthik R

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May 8, 2024

Its good!

创建者 Anindita D

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Sep 22, 2023

Very Good

创建者 Nizamudheen T

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Sep 10, 2023

Thank You

创建者 Shuxiang Z

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Jul 24, 2023

Loved it!

创建者 Maciej J

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Jan 9, 2024

Awesome!

创建者 David G G G

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Jun 29, 2023

Amazing!

创建者 akula j

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Sep 17, 2024

helpful

创建者 Abdullah B

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Mar 20, 2024

Perfect

创建者 Aminah N

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Dec 19, 2024

useful

创建者 Vipul C H

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Nov 30, 2023

thanks

创建者 Praveen H

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Sep 24, 2023

superb

创建者 Justin H

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Sep 1, 2023

Brutal

创建者 Николай Б

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Jul 30, 2023

Greate

创建者 zaidiabbas786 A

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Apr 21, 2025

teert

创建者 Adarsh51

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Mar 2, 2025

Nice!

创建者 Egies R F

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Feb 23, 2025

goodd

创建者 Simone L

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Aug 21, 2023

Super

创建者 mehmet o

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Aug 5, 2023

great

创建者 Mohammad s

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Dec 16, 2025

Woow

创建者 SUBHADEEP C

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Oct 25, 2025

good

创建者 Pooja S K

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Sep 21, 2025

Good

创建者 Afiga

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Sep 11, 2025

Good

创建者 ABEER H M

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Aug 27, 2024

شكرا

创建者 Khaoula E

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Mar 30, 2024

good