Chevron Left
Back to Generative AI with Large Language Models

Learner Reviews & Feedback for Generative AI with Large Language Models by DeepLearning.AI

4.8
stars
2,684 ratings

About the Course

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....

Top reviews

OK

Jan 28, 2024

Easily a five star course. You will get a combination of overview of advanced topics and in depth explanation of all necessary concepts. One of the best in this domain. Good work. Thank you teachers!

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.

Filter by:

551 - 575 of 713 Reviews for Generative AI with Large Language Models

By Rajaram R

•

Dec 30, 2023

Very crisp

By Ani P

•

Nov 17, 2023

Very good.

By Ravindra P S

•

Oct 4, 2023

Good one !

By Bayan A

•

Sep 2, 2024

thank you

By Oleksandr F

•

May 23, 2024

Excellent

By Karthik R

•

May 8, 2024

Its good!

By Anindita D

•

Sep 23, 2023

Very Good

By Nizamudheen T

•

Sep 10, 2023

Thank You

By Shuxiang Z

•

Jul 24, 2023

Loved it!

By Maciej J

•

Jan 9, 2024

Awesome!

By David G G G

•

Jun 29, 2023

Amazing!

By akula j

•

Sep 17, 2024

helpful

By Abdullah B

•

Mar 20, 2024

Perfect

By Vipul C H

•

Nov 30, 2023

thanks

By Praveen H

•

Sep 25, 2023

superb

By Justin H

•

Sep 2, 2023

Brutal

By Николай Б

•

Jul 30, 2023

Greate

By Simone L

•

Aug 21, 2023

Super

By mehmet o

•

Aug 6, 2023

great

By ABEER H M

•

Aug 27, 2024

شكرا

By Khaoula E

•

Mar 30, 2024

good

By Buri B

•

Mar 3, 2024

nice

By Pawar N R

•

Feb 25, 2024

good

By zed a

•

Jan 24, 2024

good

By Padma M

•

Dec 11, 2023

good