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.
langchain/docs/modules/models/llms/integrations/aleph_alpha.ipynb

158 lines
3.2 KiB
Plaintext

{
"cells": [
{
"cell_type": "markdown",
"id": "9597802c",
"metadata": {},
"source": [
"# Aleph Alpha\n",
"\n",
"[The Luminous series](https://docs.aleph-alpha.com/docs/introduction/luminous/) is a family of large language models.\n",
"\n",
"This example goes over how to use LangChain to interact with Aleph Alpha models"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fe1bf9fb-e9fa-49f3-a768-8f603225ccce",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# Install the package\n",
"!pip install aleph-alpha-client"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "0cb0f937-b610-42a2-b765-336eed037031",
"metadata": {
"tags": []
},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
" ········\n"
]
}
],
"source": [
"# create a new token: https://docs.aleph-alpha.com/docs/account/#create-a-new-token\n",
"\n",
"from getpass import getpass\n",
"\n",
"ALEPH_ALPHA_API_KEY = getpass()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "6fb585dd",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from langchain.llms import AlephAlpha\n",
"from langchain import PromptTemplate, LLMChain"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "f81a230d",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"template = \"\"\"Q: {question}\n",
"\n",
"A:\"\"\"\n",
"\n",
"prompt = PromptTemplate(template=template, input_variables=[\"question\"])"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "f0d26e48",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"llm = AlephAlpha(model=\"luminous-extended\", maximum_tokens=20, stop_sequences=[\"Q:\"], aleph_alpha_api_key=ALEPH_ALPHA_API_KEY)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "6811d621",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"llm_chain = LLMChain(prompt=prompt, llm=llm)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "3058e63f",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"' Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.\\n'"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"question = \"What is AI?\"\n",
"\n",
"llm_chain.run(question)"
]
}
],
"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": "3.10.6"
},
"vscode": {
"interpreter": {
"hash": "2d002ec47225e662695b764370d7966aa11eeb4302edc2f497bbf96d49c8f899"
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}