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    "# 🧠 NeuralAI Phase 3: TPU v5e-1 DPO Alignment\n",
    "\n",
    "This notebook is optimized for training the NeuralAI model using **TPU v5e-1** on Google Colab. It performs **Direct Preference Optimization (DPO)** to align the model's responses with human preferences.\n",
    "\n",
    "### 🚀 Setup Instructions\n",
    "1. Go to **Runtime > Change runtime type**.\n",
    "2. Select **TPU** as the hardware accelerator.\n",
    "3. Select **v5e-1** as the TPU type.\n",
    "4. Click **Save**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1. Install Dependencies\n",
    "!pip install -q transformers peft trl datasets accelerate\n",
    "# Updated for Python 3.12 and TPU v5e compatibility\n",
    "!pip install torch torch_xla[tpu] -f https://storage.googleapis.com/libtpu-releases/index.html\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2. Clone Repository (if needed) or Setup Workspace\n",
    "!git clone https://github.com/Subject-Emu-5259/NeuralAI-from-scratch.git\n",
    "%cd NeuralAI-from-scratch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 3. Run TPU Training\n",
    "!python3 training/train_dpo_tpu.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ✅ Next Steps\n",
    "Once training is complete, the fine-tuned model will be saved in `checkpoints/dpo_tpu_model`. You can download it or push it back to GitHub."
   ]
  }
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