Desenvolver um app com o Gemini avaliações

43566 avaliações

Emmanuel Alejandro C. · Revisado há 6 days

Marco Antonio R. · Revisado há 6 days

Wellington A. · Revisado há 6 days

The AI did not follow allong with the lab, and produce expected results. It wanted to fix the template code and kept bugging me to fix the templates before moving on to the next steps. If I ignore something the AI thinks is a good thing to do, it shouldn't keep bugging me. It didn't want to create the data in the inventory file, and incorrectly and poorly wanted to put it in the app py file. The lab environment should probably have some guardrails to keep the AI on track of the lab instructions. With caveats explaining, it's "acting as an assistant following the lab too. while best practices are to fix XYZ, we can ignore it to continue with the lab." I'm confused why you wouldn't train the gemini model or RAG the model for these lab environments.

James G. · Revisado há 6 days

Augusto A. · Revisado há 6 days

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Linda Elizabeth M. · Revisado há 6 days

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Chatri N. · Revisado há 6 days

wemi x. · Revisado há 6 days

I had multiple issues with the lab, the Gemini Code Assist extention was not working due to CSP errors in the browser. When I tried to restart the cloud workstation, it never started again due to configuration degradation, there was an error message saying there were not enough resources in the region to start the virtual machine

Vinicius C. · Revisado há 7 days

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Deniz U. · Revisado há 7 days

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