리뷰 Build an LLM and RAG-based Chat Application using AlloyDB and LangChain개

LALITA G. · 5개월 전에 리뷰됨

Amanda S. · 5개월 전에 리뷰됨

Wish the internals of the implementation were detailed

Radha Krishna S. · 5개월 전에 리뷰됨

Ari R. · 5개월 전에 리뷰됨

Great app and lab

Anil K. · 5개월 전에 리뷰됨

Venkateswara S. · 5개월 전에 리뷰됨

I couldn't finish because an error I don't know where.

Andre A. · 5개월 전에 리뷰됨

kamalakannan p. · 5개월 전에 리뷰됨

Great lab, but wish more time was spent talking about infra choices/options and less on deployment process.

Jonathan G. · 5개월 전에 리뷰됨

Those TPU APIs are gonna make me drool.

David B. · 5개월 전에 리뷰됨

Sameer B. · 5개월 전에 리뷰됨

great run through, there were a few areas the lab prompts were wrong; I think the main thing is that this took 45 minutes to get to "hello world" -- and I am a proficient and skilled cloud developer and google cloud professional data engineer; that means I had 15 minutes to actually listen to the presenter

Pat G. · 5개월 전에 리뷰됨

worked

Alan J. · 5개월 전에 리뷰됨

Great lab experience and material!

Siribala Priyanka C. · 5개월 전에 리뷰됨

Yogesh D. · 5개월 전에 리뷰됨

Sergei S. · 5개월 전에 리뷰됨

Troy C. · 5개월 전에 리뷰됨

Hurraaaayyyyy~!!!! I enjoyed the session.

Chrisogonas O. M. · 5개월 전에 리뷰됨

Bala Thirumala Sai Vinay Sukhesh P. · 5개월 전에 리뷰됨

setup for the lab takes too much time. It makes it difficult to actually experiment with the code. The lab time could/should be increased to 2 hours.

Alberto A. · 5개월 전에 리뷰됨

Jibi U. · 5개월 전에 리뷰됨

DaYuan T. · 5개월 전에 리뷰됨

The credential didn't work and while seeing/stepping through all the setup steps, which are extensive, it didn't teach anything about actually building RAG apps. This was a configuration lab. When a lab has this many steps, each representing a potential error point for new user, it's easy to get derailed and end up with nothing to show for the time. An improvement would be to have the environment pre-built and then focus on how to build RAG apps.

Stacy P. · 5개월 전에 리뷰됨

Novice L. · 5개월 전에 리뷰됨

Suresh B. · 5개월 전에 리뷰됨