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Documentation for Google's Gen AI site - including the Gemini API and Gemma

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## Description of the change Bump deptry from `0.13.0` to `0.15.0` ## Motivation It is not strictly necessary, but recent releases show some significant increases in performance (see e.g. release...

status:awaiting review

### Description of the bug: The above exception was the direct cause of the following exception: Traceback (most recent call last): File "D: \ Python environment \ Project \ Gemini...

type:bug
status:triaged
component:support

## Description of the change The error in your code is that the max_output_tokens parameter in the GenerationConfig is set to 20. This restricts the story to a very short...

status:awaiting review
component:documentation

## Description of the change While running this lab for a "Build with AI" event, noticed some issues with running the lab. Proposing a change to allow for future participants...

status:awaiting review
component:documentation

### Description of the bug: **I have a dataset with 148 rows and 12 columns and want to generate text for each cell with the Gemini API. Now the error...

type:bug

The following error keeps coming up when I tried hosting a yt video summarising app on streamlit using the gemini api. could you help me resolve it? InternalServerError: 500 An...

type:help
component:support

### Description of the bug: ``` curl --location 'https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key='myapikey \ --header 'Content-Type: application/json' \ --data '{ "generationConfig": { "temperature": 0, "topP": 1 }, "tools": [ { "functionDeclarations": [ { "name":...

type:bug

### Description of the bug: I am sending a request to Gemini API with tools (function call) but consistently receiving 500 internal server error. Without the function call the API...

type:bug
component:support

Hi, I was following this tutorial Link : https://colab.research.google.com/github/google/generative-ai-docs/blob/main/site/en/gemma/docs/lora_tuning.ipynb Could please tell me as to how to save a fine tuned model to disk and load it back from Keras...

type:help

### Description of the bug: Gemini REST API implemented in NodeJs application works on localhost but fails in production. Returns 502 error seen below Gemini endpoint used: https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key=$API_KEY ``` Proxy...

type:bug