mirror of
https://github.com/hwchase17/langchain
synced 2024-11-16 06:13:16 +00:00
a408ed3ea3
Add MemoryChain and ConversationChain as chains that take a docstore in addition to the prompt, and use the docstore to stuff context into the prompt. This can be used to have an ongoing conversation with a chatbot. Probably needs a bit of refactoring for code quality Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
92 lines
1.9 KiB
Plaintext
92 lines
1.9 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "e71e720f",
|
|
"metadata": {},
|
|
"source": [
|
|
"# LLM Math\n",
|
|
"\n",
|
|
"This notebook showcases using LLMs and Python REPLs to do complex word math problems."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 1,
|
|
"id": "44e9ba31",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\n",
|
|
"\n",
|
|
"\u001b[1m> Entering new chain...\u001b[0m\n",
|
|
"How many of the integers between 0 and 99 inclusive are divisible by 8?\u001b[102m\n",
|
|
"\n",
|
|
"```python\n",
|
|
"count = 0\n",
|
|
"for i in range(100):\n",
|
|
" if i % 8 == 0:\n",
|
|
" count += 1\n",
|
|
"print(count)\n",
|
|
"```\n",
|
|
"\u001b[0m\n",
|
|
"Answer: \u001b[103m13\n",
|
|
"\u001b[0m\n",
|
|
"\u001b[1m> Finished chain.\u001b[0m\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"'Answer: 13\\n'"
|
|
]
|
|
},
|
|
"execution_count": 1,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"from langchain import OpenAI, LLMMathChain\n",
|
|
"\n",
|
|
"llm = OpenAI(temperature=0)\n",
|
|
"llm_math = LLMMathChain(llm=llm, verbose=True)\n",
|
|
"\n",
|
|
"llm_math.run(\"How many of the integers between 0 and 99 inclusive are divisible by 8?\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "f62f0c75",
|
|
"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": "3.10.4"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|