关于“Build an LLM and RAG-based Chat Application using AlloyDB and LangChain”的评价
评论
LALITA G. · 评论5 months之前
Amanda S. · 评论5 months之前
Wish the internals of the implementation were detailed
Radha Krishna S. · 评论5 months之前
Ari R. · 评论5 months之前
Great app and lab
Anil K. · 评论5 months之前
Venkateswara S. · 评论5 months之前
I couldn't finish because an error I don't know where.
Andre A. · 评论5 months之前
kamalakannan p. · 评论5 months之前
Great lab, but wish more time was spent talking about infra choices/options and less on deployment process.
Jonathan G. · 评论5 months之前
Those TPU APIs are gonna make me drool.
David B. · 评论5 months之前
Sameer B. · 评论5 months之前
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. · 评论5 months之前
worked
Alan J. · 评论5 months之前
Great lab experience and material!
Siribala Priyanka C. · 评论5 months之前
Yogesh D. · 评论5 months之前
Sergei S. · 评论5 months之前
Troy C. · 评论5 months之前
Hurraaaayyyyy~!!!! I enjoyed the session.
Chrisogonas O. M. · 评论5 months之前
Bala Thirumala Sai Vinay Sukhesh P. · 评论5 months之前
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. · 评论5 months之前
Jibi U. · 评论5 months之前
DaYuan T. · 评论5 months之前
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. · 评论5 months之前
Novice L. · 评论5 months之前
Suresh B. · 评论5 months之前
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