langchain/docs/examples/demos/simple_prompts.ipynb

90 lines
2.0 KiB
Plaintext
Raw Normal View History

2022-10-24 21:51:15 +00:00
{
"cells": [
{
"cell_type": "markdown",
"id": "d8a5c5d4",
"metadata": {},
"source": [
"# Simple Example\n",
"\n",
"This notebook showcases a simple chain."
]
},
2022-10-24 21:51:15 +00:00
{
"cell_type": "code",
"execution_count": 1,
2022-10-24 21:51:15 +00:00
"id": "51a54c4d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\u001b[1m> Entering new chain...\u001b[0m\n",
"Prompt after formatting:\n",
"\u001b[32;1m\u001b[1;3mQuestion: What NFL team won the Super Bowl in the year Justin Beiber was born?\n",
"\n",
"Answer: Let's think step by step.\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
},
2022-10-24 21:51:15 +00:00
{
"data": {
"text/plain": [
"' The year Justin Beiber was born was 1994. In 1994, the Dallas Cowboys won the Super Bowl.'"
]
},
"execution_count": 1,
2022-10-24 21:51:15 +00:00
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
2022-11-20 04:32:45 +00:00
"from langchain import PromptTemplate, OpenAI, LLMChain\n",
2022-10-24 21:51:15 +00:00
"\n",
"template = \"\"\"Question: {question}\n",
"\n",
"Answer: Let's think step by step.\"\"\"\n",
2022-11-20 04:32:45 +00:00
"prompt = PromptTemplate(template=template, input_variables=[\"question\"])\n",
"llm_chain = LLMChain(prompt=prompt, llm=OpenAI(temperature=0), verbose=True)\n",
2022-10-24 21:51:15 +00:00
"\n",
"question = \"What NFL team won the Super Bowl in the year Justin Beiber was born?\"\n",
"\n",
"llm_chain.run(question)"
2022-10-24 21:51:15 +00:00
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "03dd6918",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
2022-11-20 04:32:45 +00:00
"version": "3.8.7"
2022-10-24 21:51:15 +00:00
}
},
"nbformat": 4,
"nbformat_minor": 5
}