2023/FinetuningLargeLanguageModels/01_Why_finetuning_lab_student.ipynb

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  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WMGxBP-yQoCl"
   },
   "source": [
    "# Compare finetuned vs. non-finetuned models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "height": 30,
    "id": "PKnPPEyPR3MO"
   },
   "outputs": [],
   "source": [
    "from llama import BasicModelRunner"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Try Non-Finetuned models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "non_finetuned = BasicModelRunner(\"meta-llama/Llama-2-7b-hf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "non_finetuned_output = non_finetuned(\"Tell me how to train my dog to sit\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "print(non_finetuned_output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "print(non_finetuned(\"What do you think of Mars?\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "print(non_finetuned(\"taylor swift's best friend\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 98
   },
   "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",
   "metadata": {},
   "source": [
    "### Compare to finetuned models "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "finetuned_model = BasicModelRunner(\"meta-llama/Llama-2-7b-chat-hf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "finetuned_output = finetuned_model(\"Tell me how to train my dog to sit\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "print(finetuned_output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "print(finetuned_model(\"[INST]Tell me how to train my dog to sit[/INST]\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "print(non_finetuned(\"[INST]Tell me how to train my dog to sit[/INST]\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "print(finetuned_model(\"What do you think of Mars?\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "print(finetuned_model(\"taylor swift's best friend\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 98
   },
   "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",
   "metadata": {},
   "source": [
    "### Compare to ChatGPT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "chatgpt = BasicModelRunner(\"chat-gpt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "height": 30
   },
   "outputs": [],
   "source": [
    "print(chatgpt(\"Tell me how to train my dog to sit\"))"
   ]
  }
 ],
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