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Because notebooks are long-running Python sessions, it is possible to run into unexpected behavior: for example, the impact of code that was previously run but then deleted may still have lingering effects. If you run into problems, try one or more of the following:
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* In the `Command toolbar`, use the `Run all` button's drop-down menu to restart the session
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* Use the `Runtime` section to delete the runtime and start a new one
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* Reload the page
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### Connecting Files
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Using the `Files` sidebar tab will open a file browser *on the remote runtime*. This section also contains two buttons for bringing data into your notebook:
@@ -211,12 +219,4 @@ In our experience, these are some of the main limitations of using the integrate
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* No ability for live websearches (limiting its knowledge to the time of training)
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* Known to hallucinate on cell output when cells are "wrong" but code compiled and ran without an error
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If you are unsatisfied with Gemini's abilities, we do make it easy to copy over configuration text for other LLMs (all of which should understand Colab and Jupyter Notebook syntax - sometimes better than Gemini!).
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## Notebook Troubleshooting
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Because notebooks are long-running Python sessions, it is possible to run into unexpected behavior: for example, the impact of code that was previously run but then deleted may still have lingering effects. If you run into problems, try one or more of the following:
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* In the `Command toolbar`, use the `Run all` button's drop-down menu to restart the session
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* Delete the runtime and start a new one
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* Reload the page
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If you are unsatisfied with Gemini's abilities, we do make it easy to copy over configuration text for other LLMs (all of which should understand Colab and Jupyter Notebook syntax - sometimes better than Gemini!).
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