Agent Studio を使ってみる のレビュー
291297 件のレビュー
Ghofar Abdul · 2ヶ月前にレビュー済み
OK
de Oliveira Dias Ricardo Mariano · 2ヶ月前にレビュー済み
Muito rápido, com informações desatualizadas.
Souza Murilo · 2ヶ月前にレビュー済み
need additional time when we first start the lab, Some of the instructions are not clear there are only verbal instructions no screens to refer
Devaraju Harshavardhan · 2ヶ月前にレビュー済み
good
Sravanthi Pittala · 2ヶ月前にレビュー済み
Ishimoto Mitsuaki · 2ヶ月前にレビュー済み
Carra Sofia · 2ヶ月前にレビュー済み
Khan Salman · 2ヶ月前にレビュー済み
nothing
Shimpi Dipak · 2ヶ月前にレビュー済み
my quota got exhausted and then i could not recieve any points in the console
Mullangi Kowshik Reddy · 2ヶ月前にレビュー済み
Muito rápido, com informações desatualizadas.
Souza Murilo · 2ヶ月前にレビュー済み
DUTTA SOHAM · 2ヶ月前にレビュー済み
OK
de Oliveira Dias Ricardo Mariano · 2ヶ月前にレビュー済み
Nagdawala Ayesha · 2ヶ月前にレビュー済み
Es un laboratorio muy bueno e inmersivo a las configuraciones de Vertex AI. Se debe actualizar el nombre de la plataforma a Agent Plataform en la guía del curso
Gil Muñoz Mario Alejandro · 2ヶ月前にレビュー済み
Singh Saurabh · 2ヶ月前にレビュー済み
ok
B Jitesh · 2ヶ月前にレビュー済み
Carra Sofia · 2ヶ月前にレビュー済み
It is my duty to report a significant deviation in this lab. Executing this module currently equates to attempting to construct a complex civil infrastructure using obsolete conceptual blueprints, while the field (the live platform) already features advanced structural modifications. This synchronization gap negatively impacts the learning curve and user productivity. Technical Findings and Deviations (UI vs. Manual) State and Context Management (Few-Shot Prompting): The instructions omit a fundamental technical requirement of the current version. The manual fails to specify that injecting structured training examples (the Example button) requires a clean initial state (clean chat). In the live UI, the system correctly locks this function if the context has already been altered, creating a bottleneck for users following the manual literally. Module Refactoring (Multimedia Generation): The interface architecture has been optimized, decoupling generative capabilities (Imagen 4, Chirp 3) into independent modules. The navigation paths documented in the lab are "dead ends" that no longer correspond to the current topology of the Google Cloud console. Premature Resource Exhaustion (API Quota): The friction generated by outdated documentation forces the user to perform multiple trial-and-error tests. This translates into unnecessary API calls, rapidly exhausting the allocated project budget ("Quota has been exhausted") and halting execution before reaching the final certification milestone. Strategic Recommendation It is imperative to implement continuous integration (CI/CD) practices not only for the platform's codebase but also for its support documentation. Training labs must reflect the exact As-Built blueprints of the current GUI. Providing precise instructions is not merely an added value; it is the fundamental foundation for ensuring digital maturity and the efficient adoption of enterprise-level artificial intelligence.
Urdaneta Alberto · 2ヶ月前にレビュー済み
Wagoon Liberoo · 2ヶ月前にレビュー済み
Fernandez Fabiola · 2ヶ月前にレビュー済み
Khan Somia · 2ヶ月前にレビュー済み
ㅤ Nimadhiraj · 2ヶ月前にレビュー済み
Quote exhausted too often, very frustrating with time limit
Taylor Guy · 2ヶ月前にレビュー済み
Cannot find the menu items or windows. The UI has been changed.
Ding Jack · 2ヶ月前にレビュー済み
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