Menganalisis Poster Film di BigQuery dengan Model Jarak Jauh Ulasan

sankar narayan s. · Diulas sekitar 5 jam lalu

very nice lab

Daivik K. · Diulas sekitar 6 jam lalu

Soham D. · Diulas sekitar 9 jam lalu

Satvika D. · Diulas sekitar 10 jam lalu

animesh m. · Diulas sekitar 11 jam lalu

Oyesina O. · Diulas sekitar 12 jam lalu

Harshit M. · Diulas sekitar 17 jam lalu

PRASANNA A. · Diulas 1 hari lalu

Bryan C. · Diulas 1 hari lalu

Sakshi K. · Diulas 1 hari lalu

ok

Sanika B. · Diulas 1 hari lalu

Esmaeili A. · Diulas 1 hari lalu

Quennie C. · Diulas 1 hari lalu

Sai Brinda E. · Diulas 2 hari lalu

Pattipati V. · Diulas 2 hari lalu

Juan Felipe C. · Diulas 2 hari lalu

Muhammad Naufal F. · Diulas 2 hari lalu

Anshika N. · Diulas 3 hari lalu

Snehal N. · Diulas 3 hari lalu

Jednipat M. · Diulas 3 hari lalu

Cristian M. · Diulas 3 hari lalu

Hi team, There is clearly a bug in the final validation of this lab. I completed the required SQL, created the expected tables, verified the data was generated, and the lab result already shows `pass: true` with `95/100`. However, the last step still does not validate. The issue is simple: the lab instructions and the checker are not aligned. The step says it is about generating embeddings for a subset of the IMDB dataset, but the checker keeps asking for `movie_posters_results_embeddings`. I ran both flows: * `imdb_movies_embeddings` * `movie_posters_results_embeddings` Neither resolves the final checker properly, even though the lab itself is already marked as passed. This is not a user execution problem. This is a validation mismatch in the lab. Please review the checker logic for step 7 and grant full credit. Thanks.

Paulo Henrique B. · Diulas 3 hari lalu

Very satisfied. Great hands-on lab with practical AI use cases. Some steps were slightly tricky but overall very useful and informative.

Shubham J. · Diulas 3 hari lalu

Akshitha D. · Diulas 3 hari lalu

Kanika M. · Diulas 3 hari lalu