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7 results found

  1. Enable VertexAI web access for googleSearchRetrieval() and Grounding to work on the FirebaseVertexAI.

    1 vote

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  2. ,…♪#@…แปลภาษาผ่านแผ่นทีและเพลง

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  3. Currently, App Check is the only mechanism to control access to the Vertex API. This is not always practical and does not allow per-user access control.
    Please add a mechanism similar to Security Rules for Firestore, to enforce only authenticated Firebase users to access the AI APIs.

    1 vote

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  4. Currently the latest stable or other stable Gemini 1.5 models are available only (see https://firebase.google.com/docs/vertex-ai/gemini-models#available-model-names). These lag behind with features such as function calling ability (performance), structured output (according to the feature matrix Gemini 1.5 Flash does not support that but we know it has multiple versions already capable of). Why cannot we access the preview model we'd like?

    1 vote

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  5. I don't know if this is already exisiting but i think it should be possible to train a custom model through the vertex AI API for firebase.

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  6. One of the very useful things about the Open AI API is that the response includes the amount of input and output tokens used , as well as the model that was hit. I am recording this data per call in my firebase instance for my app along with time of processing to monitor performance. I also add the appropriate cost per model in there and so I dynamically calculate the costs per model call as well. This helps me make business case decisions on how I use the AI. 
    It would be great to have that  available in  the Vertex AI API…

    1 vote

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  7. Allow the SDK to call automatically the functions that the model requires before to proceed with the prompt

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