01_Why_finetuning.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "id": "753b9c5b",
   "metadata": {},
   "source": [
    "# Compare finetuned vs. non-finetuned models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d6cf94f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "from llama2 import BasicModelRunner"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c86d2cd9",
   "metadata": {},
   "source": [
    "## Try Non-Finetuned models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ef82350",
   "metadata": {},
   "outputs": [],
   "source": [
    "non_finetuned = BasicModelRunner(\"meta-llama/Llama-2-7b-hf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "213b3936",
   "metadata": {},
   "outputs": [],
   "source": [
    "non_finetuned_output = non_finetuned(\"Tell me how to train my dog to sit\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2030a18d",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(non_finetuned_output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9fd34a82",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(non_finetuned(\"What do you think of Mars?\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b22652ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(non_finetuned(\"taylor swift's best friend\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "05d6d640",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(non_finetuned(\"\"\"Agent: I'm here to help you with your Amazon deliver order.\n",
    "Customer: I didn't get my item\n",
    "Agent: I'm sorry to hear that. Which item was it?\n",
    "Customer: the blanket\n",
    "Agent:\"\"\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7aeaeed",
   "metadata": {},
   "source": [
    "## Compare to finetuned models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "809c1d28",
   "metadata": {},
   "outputs": [],
   "source": [
    "finetuned_model = BasicModelRunner(\"meta-llama/Llama-2-7b-chat-hf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "588ad61c",
   "metadata": {},
   "outputs": [],
   "source": [
    "finetuned_output = finetuned_model(\"Tell me how to train my dog to sit\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a6d67df1",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(finetuned_output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7e8f0e7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(finetuned_model(\"[INST]Tell me how to train my dog to sit[/INST]\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "215db687",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(non_finetuned(\"[INST]Tell me how to train my dog to sit[/INST]\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "01cf87f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(finetuned_model(\"What do you think of Mars?\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "32db06c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(finetuned_model(\"taylor swift's best friend\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "be48bda1",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(finetuned_model(\"\"\"Agent: I'm here to help you with your Amazon deliver order.\n",
    "Customer: I didn't get my item\n",
    "Agent: I'm sorry to hear that. Which item was it?\n",
    "Customer: the blanket\n",
    "Agent:\"\"\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72033585",
   "metadata": {},
   "source": [
    "## Compare to ChatGPT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5922c4d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "chatgpt = BasicModelRunner(\"chat-gpt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "70c59500",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(chatgpt(\"Tell me how to train my dog to sit\"))"
   ]
  }
 ],
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