forked from Archives/langchain
You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
98 lines
2.5 KiB
Plaintext
98 lines
2.5 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# LLMCheckerChain\n",
|
|
"This notebook showcases how to use LLMCheckerChain."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 1,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\n",
|
|
"\n",
|
|
"\u001b[1m> Entering new LLMCheckerChain chain...\u001b[0m\n",
|
|
"\n",
|
|
"\n",
|
|
"\u001b[1m> Entering new SequentialChain chain...\u001b[0m\n",
|
|
"\u001b[1mChain 0\u001b[0m:\n",
|
|
"{'statement': '\\nNone. Mammals do not lay eggs.'}\n",
|
|
"\n",
|
|
"\u001b[1mChain 1\u001b[0m:\n",
|
|
"{'assertions': '\\n• Mammals reproduce using live birth\\n• Mammals do not lay eggs\\n• Animals that lay eggs are not mammals'}\n",
|
|
"\n",
|
|
"\u001b[1mChain 2\u001b[0m:\n",
|
|
"{'checked_assertions': '\\n1. True\\n\\n2. True\\n\\n3. False - Mammals are a class of animals that includes animals that lay eggs, such as monotremes (platypus and echidna).'}\n",
|
|
"\n",
|
|
"\u001b[1mChain 3\u001b[0m:\n",
|
|
"{'revised_statement': ' Monotremes, such as the platypus and echidna, lay the biggest eggs of any mammal.'}\n",
|
|
"\n",
|
|
"\n",
|
|
"\u001b[1m> Finished SequentialChain chain.\u001b[0m\n",
|
|
"\n",
|
|
"\u001b[1m> Finished LLMCheckerChain chain.\u001b[0m\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"' Monotremes, such as the platypus and echidna, lay the biggest eggs of any mammal.'"
|
|
]
|
|
},
|
|
"execution_count": 1,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"from langchain.chains import LLMCheckerChain\n",
|
|
"from langchain.llms import OpenAI\n",
|
|
"\n",
|
|
"llm = OpenAI(temperature=0.7)\n",
|
|
"\n",
|
|
"text = \"What type of mammal lays the biggest eggs?\"\n",
|
|
"\n",
|
|
"checker_chain = LLMCheckerChain(llm=llm, verbose=True)\n",
|
|
"\n",
|
|
"checker_chain.run(text)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"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": "3.10.9"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 4
|
|
}
|