Multimodal Retrieval Augmented Generation (RAG) using the Gemini API in Vertex AI recensioni

34467 recensioni

Perarasu M. · Recensione inserita 10 giorni fa

Vaishnavi V. · Recensione inserita 10 giorni fa

Janani K. · Recensione inserita 10 giorni fa

Preethi D. · Recensione inserita 10 giorni fa

Simarpreet Kaur S. · Recensione inserita 10 giorni fa

JINKA V. · Recensione inserita 10 giorni fa

DASOJU S. · Recensione inserita 10 giorni fa

Kamalesh K. · Recensione inserita 11 giorni fa

Sohan K. · Recensione inserita 11 giorni fa

Sindhiya S. · Recensione inserita 11 giorni fa

good

inbathamilan S. · Recensione inserita 11 giorni fa

Sindhiya S. · Recensione inserita 11 giorni fa

Julien P. · Recensione inserita 11 giorni fa

Kowsini S. · Recensione inserita 11 giorni fa

good

Praveen J. · Recensione inserita 11 giorni fa

I am frustrated with this lab experience. I completed all the required steps and the notebook ran successfully, metadata was generated, and the DataFrames were populated, but the “Check my progress” system did not recognize the task as completed. I had to repeat steps multiple times due to API quota errors and progress detection issues, which made the lab very stressful and time-consuming. The instructions should mention API limits, recommended settings (like sleep time), and how much data actually needs to be processed to pass the task. The progress checker should be more reliable and detect completion properly when the required variables and outputs are generated.

Vyankatesh T. · Recensione inserita 11 giorni fa

6268 K. · Recensione inserita 11 giorni fa

good

HEMAPRIYA P. · Recensione inserita 11 giorni fa

sᴀʀᴀɴ ʀ. · Recensione inserita 11 giorni fa

confusing for text search

pranav b. · Recensione inserita 11 giorni fa

Assuwathi G. · Recensione inserita 11 giorni fa

I am frustrated with this lab experience. I completed all the required steps and the notebook ran successfully, metadata was generated, and the DataFrames were populated, but the “Check my progress” system did not recognize the task as completed. I had to repeat steps multiple times due to API quota errors and progress detection issues, which made the lab very stressful and time-consuming. The instructions should mention API limits, recommended settings (like sleep time), and how much data actually needs to be processed to pass the task. The progress checker should be more reliable and detect completion properly when the required variables and outputs are generated.

Vyankatesh T. · Recensione inserita 11 giorni fa

Navjot S. · Recensione inserita 11 giorni fa

Sohan K. · Recensione inserita 11 giorni fa

HARI k. · Recensione inserita 11 giorni fa

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