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Doc Error: modify part 2 of advanced prompts #17255

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Dec 19, 2024
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Doc Error: modify part 2 of advanced prompts #17255

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c0827f7
modify part2 of advanced prompts
amanyaras Dec 12, 2024
9de3300
linting
logan-markewich Dec 19, 2024
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123 changes: 108 additions & 15 deletions docs/docs/examples/prompts/advanced_prompts.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -26,17 +26,110 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"id": "0a50028b",
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Looking in indexes: https://mirrors.ustc.edu.cn/pypi/simple\n",
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" Downloading https://mirrors.ustc.edu.cn/pypi/packages/e8/45/e2849d077ad5510b56dd072c9cbfb73daa47debcac5a9582dd118f6659c5/llama_index_llms_openai-0.3.10-py3-none-any.whl (14 kB)\n",
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" Using cached https://mirrors.ustc.edu.cn/pypi/packages/1d/8f/c7f227eb42cfeaddce3eb0c96c60cbca37797fa7b34f8e1aeadf6c5c0983/Deprecated-1.2.15-py2.py3-none-any.whl (9.9 kB)\n",
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"Collecting greenlet!=0.4.17 (from SQLAlchemy>=1.4.49->SQLAlchemy[asyncio]>=1.4.49->llama-index-core<0.13.0,>=0.12.4->llama-index-llms-openai)\n",
" Downloading https://mirrors.ustc.edu.cn/pypi/packages/cf/69/79e4d63b9387b48939096e25115b8af7cd8a90397a304f92436bcb21f5b2/greenlet-3.1.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (599 kB)\n",
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" Attempting uninstall: openai\n",
" Found existing installation: openai 1.39.0\n",
" Uninstalling openai-1.39.0:\n",
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"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"xinference 0.14.4 requires huggingface-hub>=0.19.4, which is not installed.\n",
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"\u001b[0mSuccessfully installed SQLAlchemy-2.0.36 dataclasses-json-0.6.7 deprecated-1.2.15 dirtyjson-1.0.8 filetype-1.2.0 greenlet-3.1.1 jiter-0.8.2 llama-index-core-0.12.5 llama-index-llms-openai-0.3.10 marshmallow-3.23.1 mypy-extensions-1.0.0 nltk-3.9.1 openai-1.57.2 tenacity-9.0.0 typing-inspect-0.9.0 wrapt-1.17.0\n",
"\n",
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m24.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m24.3.1\u001b[0m\n",
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"%pip install llama-index-llms-openai"
]
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"id": "e1cd3473-df8c-4b5c-abac-d663b0117fef",
"metadata": {},
"outputs": [],
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},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"id": "a19eaa7f-1e72-498f-8e29-fec9b1ef9ceb",
"metadata": {},
"outputs": [],
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},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"id": "933db073-712d-4feb-b49f-6c64a20ec2fa",
"metadata": {},
"outputs": [],
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},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"id": "470446e4-aeb9-40cb-9017-fcdd03af8d4c",
"metadata": {},
"outputs": [
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"{'tone_name': 'Shakespeare'}"
]
},
"execution_count": null,
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
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},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"id": "b9627977-5d2a-4300-a9da-91a5dfb671a3",
"metadata": {},
"outputs": [
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},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"id": "e197319a-37cc-4a3f-a623-8fffb9c3d932",
"metadata": {},
"outputs": [],
Expand All @@ -180,7 +273,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 9,
"id": "44936c0f-bae1-4955-b59f-4bcfb373bdc8",
"metadata": {},
"outputs": [
Expand All @@ -193,14 +286,13 @@
"In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters\n",
"---------------------\n",
"Given the context information and not prior knowledge, answer the query.\n",
"Please write the answer in the style of Shakespeare\n",
"Query: How many params does llama 2 have\n",
"Answer: \n"
]
}
],
"source": [
"fmt_prompt = partial_prompt_tmpl.format(\n",
"fmt_prompt = prompt_tmpl.format(\n",
" context_str=\"In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters\",\n",
" query_str=\"How many params does llama 2 have\",\n",
")\n",
Expand Down Expand Up @@ -294,9 +386,9 @@
],
"metadata": {
"kernelspec": {
"display_name": "llama_index_v2",
"display_name": "Python 3",
"language": "python",
"name": "llama_index_v2"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -307,7 +399,8 @@
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3"
"pygments_lexer": "ipython3",
"version": "3.10.14"
}
},
"nbformat": 4,
Expand Down
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