BB
Jan 24, 2024
Great workshop for LLM beginners who wants to get hands-on in the same day of LLM fine tuning activities. Great thanks to Dr.Sharon Zhou to make the LLM fine-tuning as simple as train a DNN model.
CG
Jun 29, 2024
An "intro" course that is great for folks with only a little bit of experience in using LLMs. Great start to begin getting into the "good" stuff!
By Abiola I
•Jul 26, 2024
Amazing course!
By Alessandro M
•Oct 18, 2024
Great Course!
By Vijay V
•May 2, 2024
Superb course
By Lok M L
•Mar 12, 2024
Great Project
By Mizzi Y
•Jan 27, 2024
Very Useful.
By Raahul S
•Mar 1, 2024
Good Course
By Diego S
•Oct 22, 2023
good course
By Vagner S V
•Jan 10, 2024
Excelente
By Oscar C
•Jun 3, 2024
Awesome!
By Pritesh L
•Mar 9, 2024
Too Good
By PARTHIV J D
•Oct 28, 2023
models
By Ameya B
•Aug 20, 2024
Nice
By Youssef A
•Mar 9, 2024
good
By Amit S
•Nov 17, 2023
Good
By shivendra p s
•Feb 3, 2024
NA
By Djamal Z
•Aug 7, 2024
.
By Yukihiro F
•Oct 5, 2023
While I frequently encounter the term 'fine-tuning,' I lacked knowledge of the specifics, making it a highly valuable learning experience. Concerning the evaluation method, I am aware that achieving exact match may not be feasible. Since I was uncertain about the exact steps to take, I believed it would be beneficial to delve deeper into this field.
By Ana M A d S
•Feb 9, 2024
Great workshop for LLM fine tuning activities. for beginners and people with intermediate experience. Great work, thanks to Dr.Sharon Zhou. The certificate is missing. How can I get it?
By Yosr A
•Jun 2, 2024
it's very good as a start but needs a little bit to focus on the advanced topics in fine-tuning
By masen y
•Apr 29, 2024
good intro to exciting topic. Would be nice to see recommendation of next courses.
By Enrique C
•Mar 16, 2024
Muy Instructivo con conceptos importantes sobre fintuning que no tenia previamente
By Syed T H
•Feb 20, 2024
please provide my certificate
By Rani K R
•Feb 12, 2024
good one....
By Harender P S
•Nov 21, 2024
Nice
By Weipeng H
•Aug 29, 2024
For a simple introduction to finetuning it's fine, but it's not the course for those who already know the basics of LLM finetuning and want to dig deeper.