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Add example for adding context information for prompting
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shilpakancharla committed May 21, 2024
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"source": [
"# Gemini API: Adding context information"
],
"metadata": {
"id": "sP8PQnz1QrcF"
}
},
{
"cell_type": "markdown",
"source": [
"<table class=\"tfo-notebook-buttons\" align=\"left\">\n",
" <td>\n",
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/cookbook/blob/main/quickstarts/examples/prompting/Adding_context_information.ipynb\"><img src = \"https://www.tensorflow.org/images/colab_logo_32px.png\"/>Run in Google Colab</a>\n",
" </td>\n",
"</table>"
],
"metadata": {
"id": "bxGr_x3MRA0z"
}
},
{
"cell_type": "markdown",
"source": [
"While LLMs are trained extensively on various documents and data, the LLM does not know everything. New information or information that is not easily accessible cannot be known by the LLM, unless it was specifically added to its corpus of knowledge somehow. For this reason, it is sometimes necessary to provide the LLM, with information and context necessary to answer our queries by providing additional context."
],
"metadata": {
"id": "ysy--KfNRrCq"
}
},
{
"cell_type": "code",
"source": [
"!pip install -U -q google-generativeai"
],
"metadata": {
"id": "Ne-3gnXqR0hI"
},
"execution_count": 1,
"outputs": []
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"id": "EconMHePQHGw"
},
"outputs": [],
"source": [
"import google.generativeai as genai\n",
"\n",
"from IPython.display import Markdown"
]
},
{
"cell_type": "markdown",
"source": [
"## Configure your API key\n",
"\n",
"To run the following cell, your API key must be stored it in a Colab Secret named `GOOGLE_API_KEY`. If you don't already have an API key, or you're not sure how to create a Colab Secret, see [Authentication](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Authentication.ipynb) for an example."
],
"metadata": {
"id": "eomJzCa6lb90"
}
},
{
"cell_type": "code",
"source": [
"from google.colab import userdata\n",
"GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n",
"\n",
"genai.configure(api_key=GOOGLE_API_KEY)"
],
"metadata": {
"id": "v-JZzORUpVR2"
},
"execution_count": 3,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"## Example"
],
"metadata": {
"id": "JljcHgI2ltTY"
}
},
{
"cell_type": "code",
"source": [
"# the list as of April 2024\n",
"prompt = \"\"\"\n",
"QUERY: provide a list of atheletes that competed in olympics exactly 9 times.\n",
"CONTEXT:\n",
"Ian Millar, 10\n",
"Hubert Raudaschl, 9\n",
"Afanasijs Kuzmins, 9\n",
"Nino Salukvadze, 9\n",
"Piero d'Inzeo, 8\n",
"Raimondo d'Inzeo, 8\n",
"Claudia Pechstein, 8\n",
"Jaqueline Mourão, 8\n",
"Ivan Osiier, 7\n",
"François Lafortune, Jr, 7\n",
"\n",
"ANSWER:\"\"\"\n",
"model = genai.GenerativeModel(model_name='gemini-1.5-flash-latest', generation_config={\"temperature\": 0})\n",
"Markdown(model.generate_content(prompt).text)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 104
},
"id": "uFcm6Dd7ls_F",
"outputId": "37628141-885c-4cc4-dcd4-3c340af3a574"
},
"execution_count": 5,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<IPython.core.display.Markdown object>"
],
"text/markdown": "The list you provided already includes all the athletes who competed in the Olympics exactly 9 times:\n\n* **Hubert Raudaschl**\n* **Afanasijs Kuzmins**\n* **Nino Salukvadze** \n"
},
"metadata": {},
"execution_count": 5
}
]
}
]
}

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