3 results found

1. Train A Model Through API

   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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   0 comments  ·  Vertex AI for Firebase  ·  Edit…  ·  Delete…  ·  Admin →
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2. Add input and output tokens used and model to the response object.

   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 calls as well. 

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   Is the way to get that now to make a separate call?

   const { totalTokens, totalBillableCharacters } = await model.countTokens([prompt, imagePart]);

   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… more

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3. Automated Function Calling for Kotlin

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

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