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Learner Reviews & Feedback for Introduction to Large Language Models by Google Cloud

4.4
stars
916 ratings

About the Course

This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps....

Top reviews

CB

Feb 14, 2025

The LLM course offers a comprehensive and practical understanding of large language models, equipping learners with essential skills for AI-driven text generation, analysis, and application.

UA

Oct 15, 2023

I believe that John Ewald did a great job at covering the basics for absolute beginners. I will recommend others to check out the course too before diving deep into more specific topics.

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101 - 125 of 199 Reviews for Introduction to Large Language Models

By Tolulope A

•

Nov 6, 2024

Great

By Zaur s

•

Jun 7, 2023

great

By Subham B

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Apr 1, 2025

Good

By DUSMANTA K R

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Mar 28, 2025

Good

By Dibyansu M

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Mar 25, 2025

Nice

By Mukund G D

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Mar 10, 2025

Good

By YOGADHARSHINI S

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Feb 22, 2025

Good

By Sahil M

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Feb 20, 2025

good

By YASOTHAI S

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Feb 19, 2025

good

By Sundar T

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Feb 4, 2025

Good

By madeh

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Jan 29, 2025

Nice

By Dhanurjay D

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Nov 7, 2024

Good

By Surya L B ( O - U B

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Oct 8, 2024

good

By SRI V

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Sep 2, 2024

good

By Subhashree P

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Aug 30, 2024

Good

By Ameya B

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Aug 21, 2024

Nice

By norah h a

•

Jun 1, 2024

شكرا

By Akarsh R

•

Apr 11, 2024

good

By Utkarsh T

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Mar 1, 2024

nice

By jay r s

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Feb 29, 2024

good

By Sridhar N

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Feb 26, 2024

Good

By Nivrutti R P

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Feb 25, 2024

good

By PRATEEK S

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Feb 4, 2024

good

By Aruna K S

•

Feb 25, 2025

5

By Sagnick B

•

Jan 25, 2025

The course was very much helpful to me in giving a short and in-depth insight about the large language models and it's various application in different fields like code completion, text-summarization, language translation etc, and many more. It also discussed about how different large language models can be tuned for better output according to the set of custom use cases by training the model on new data.