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

34792 opinie

Santhi E. · Sprawdzono 27 dni temu

Ravi S. · Sprawdzono 27 dni temu

Arunkumar j. · Sprawdzono 27 dni temu

Perarasu M. · Sprawdzono 27 dni temu

Vaishnavi V. · Sprawdzono 27 dni temu

Janani K. · Sprawdzono 27 dni temu

Preethi D. · Sprawdzono 27 dni temu

Simarpreet Kaur S. · Sprawdzono 27 dni temu

JINKA V. · Sprawdzono 27 dni temu

DASOJU S. · Sprawdzono 27 dni temu

Kamalesh K. · Sprawdzono 28 dni temu

Sohan K. · Sprawdzono 28 dni temu

Sindhiya S. · Sprawdzono 28 dni temu

good

inbathamilan S. · Sprawdzono 28 dni temu

Sindhiya S. · Sprawdzono 28 dni temu

Julien P. · Sprawdzono 28 dni temu

Kowsini S. · Sprawdzono 28 dni temu

good

Praveen J. · Sprawdzono 28 dni temu

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. · Sprawdzono 28 dni temu

6268 K. · Sprawdzono 28 dni temu

good

HEMAPRIYA P. · Sprawdzono 28 dni temu

sᴀʀᴀɴ ʀ. · Sprawdzono 28 dni temu

confusing for text search

pranav b. · Sprawdzono 28 dni temu

Assuwathi G. · Sprawdzono 28 dni temu

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. · Sprawdzono 28 dni temu

Nie gwarantujemy, że publikowane opinie pochodzą od konsumentów, którzy dane produkty kupili lub ich używali. Google nie weryfikuje opinii.