langchain/examples/model_laboratory.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ab9e95ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain import LLMChain, OpenAI, Cohere, HuggingFaceHub, Prompt\n",
    "from langchain.model_laboratory import ModelLaboratory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "32cb94e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "llms = [OpenAI(temperature=0), Cohere(model=\"command-xlarge-20221108\", max_tokens=20, temperature=0), HuggingFaceHub(repo_id=\"google/flan-t5-xl\", model_kwargs={\"temperature\":1})]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "14cde09d",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_lab = ModelLaboratory(llms)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f186c741",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mInput:\u001b[0m\n",
      "What color is a flamingo?\n",
      "\n",
      "\u001b[1mOpenAI\u001b[0m\n",
      "Params: {'model': 'text-davinci-002', 'temperature': 0.0, 'max_tokens': 256, 'top_p': 1, 'frequency_penalty': 0, 'presence_penalty': 0, 'n': 1, 'best_of': 1}\n",
      "\u001b[104m\n",
      "\n",
      "Flamingos are pink.\u001b[0m\n",
      "\n",
      "\u001b[1mCohere\u001b[0m\n",
      "Params: {'model': 'command-xlarge-20221108', 'max_tokens': 20, 'temperature': 0.0, 'k': 0, 'p': 1, 'frequency_penalty': 0, 'presence_penalty': 0}\n",
      "\u001b[103m\n",
      "\n",
      "Pink\u001b[0m\n",
      "\n",
      "\u001b[1mHuggingFaceHub\u001b[0m\n",
      "Params: {'repo_id': 'google/flan-t5-xl', 'temperature': 1}\n",
      "\u001b[101mpink\u001b[0m\n",
      "\n"
     ]
    }
   ],
   "source": [
    "model_lab.compare(\"What color is a flamingo?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "248b652a",
   "metadata": {},
   "outputs": [],
   "source": [
    "prompt = Prompt(template=\"What is the capital of {state}?\", input_variables=[\"state\"])\n",
    "model_lab_with_prompt = ModelLaboratory(llms, prompt=prompt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f64377ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1mInput:\u001b[0m\n",
      "New York\n",
      "\n",
      "\u001b[1mOpenAI\u001b[0m\n",
      "Params: {'model': 'text-davinci-002', 'temperature': 0.0, 'max_tokens': 256, 'top_p': 1, 'frequency_penalty': 0, 'presence_penalty': 0, 'n': 1, 'best_of': 1}\n",
      "\u001b[104m\n",
      "\n",
      "The capital of New York is Albany.\u001b[0m\n",
      "\n",
      "\u001b[1mCohere\u001b[0m\n",
      "Params: {'model': 'command-xlarge-20221108', 'max_tokens': 20, 'temperature': 0.0, 'k': 0, 'p': 1, 'frequency_penalty': 0, 'presence_penalty': 0}\n",
      "\u001b[103m\n",
      "\n",
      "The capital of New York is Albany.\u001b[0m\n",
      "\n",
      "\u001b[1mHuggingFaceHub\u001b[0m\n",
      "Params: {'repo_id': 'google/flan-t5-xl', 'temperature': 1}\n",
      "\u001b[101mst john s\u001b[0m\n",
      "\n"
     ]
    }
   ],
   "source": [
    "model_lab_with_prompt.compare(\"New York\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "54336dbf",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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