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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": {},
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"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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