mirror of
https://github.com/hwchase17/langchain
synced 2024-11-18 09:25:54 +00:00
480626dc99
…tch]: import models from community ran ```bash git grep -l 'from langchain\.chat_models' | xargs -L 1 sed -i '' "s/from\ langchain\.chat_models/from\ langchain_community.chat_models/g" git grep -l 'from langchain\.llms' | xargs -L 1 sed -i '' "s/from\ langchain\.llms/from\ langchain_community.llms/g" git grep -l 'from langchain\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.embeddings/from\ langchain_community.embeddings/g" git checkout master libs/langchain/tests/unit_tests/llms git checkout master libs/langchain/tests/unit_tests/chat_models git checkout master libs/langchain/tests/unit_tests/embeddings/test_imports.py make format cd libs/langchain; make format cd ../experimental; make format cd ../core; make format ```
88 lines
1.9 KiB
Plaintext
88 lines
1.9 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "e71e720f",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Math chain\n",
|
|
"\n",
|
|
"This notebook showcases using LLMs and Python REPLs to do complex word math problems."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"id": "44e9ba31",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\n",
|
|
"\n",
|
|
"\u001b[1m> Entering new LLMMathChain chain...\u001b[0m\n",
|
|
"What is 13 raised to the .3432 power?\u001b[32;1m\u001b[1;3m\n",
|
|
"```text\n",
|
|
"13 ** .3432\n",
|
|
"```\n",
|
|
"...numexpr.evaluate(\"13 ** .3432\")...\n",
|
|
"\u001b[0m\n",
|
|
"Answer: \u001b[33;1m\u001b[1;3m2.4116004626599237\u001b[0m\n",
|
|
"\u001b[1m> Finished chain.\u001b[0m\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"'Answer: 2.4116004626599237'"
|
|
]
|
|
},
|
|
"execution_count": 4,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"from langchain.chains import LLMMathChain\n",
|
|
"from langchain_community.llms import OpenAI\n",
|
|
"\n",
|
|
"llm = OpenAI(temperature=0)\n",
|
|
"llm_math = LLMMathChain.from_llm(llm, verbose=True)\n",
|
|
"\n",
|
|
"llm_math.run(\"What is 13 raised to the .3432 power?\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "e978bb8e",
|
|
"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",
|
|
"version": "3.11.3"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|