mirror of
https://github.com/hwchase17/langchain
synced 2024-10-31 15:20:26 +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
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "e71e720f",
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"metadata": {},
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"source": [
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"# Math chain\n",
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"\n",
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"This notebook showcases using LLMs and Python REPLs to do complex word math problems."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "44e9ba31",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new LLMMathChain chain...\u001b[0m\n",
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"What is 13 raised to the .3432 power?\u001b[32;1m\u001b[1;3m\n",
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"```text\n",
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"13 ** .3432\n",
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"```\n",
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"...numexpr.evaluate(\"13 ** .3432\")...\n",
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"\u001b[0m\n",
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"Answer: \u001b[33;1m\u001b[1;3m2.4116004626599237\u001b[0m\n",
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"\u001b[1m> Finished chain.\u001b[0m\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"'Answer: 2.4116004626599237'"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from langchain.chains import LLMMathChain\n",
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"from langchain_community.llms import OpenAI\n",
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"\n",
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"llm = OpenAI(temperature=0)\n",
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"llm_math = LLMMathChain.from_llm(llm, verbose=True)\n",
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"\n",
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"llm_math.run(\"What is 13 raised to the .3432 power?\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e978bb8e",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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