sample_data.json

[
    {
        "input": "What is machine learning?",
        "output": "Machine learning is a subset of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed."
    },
    {
        "input": "Explain neural networks",
        "output": "Neural networks are computing systems inspired by biological neural networks. They consist of interconnected nodes (neurons) organized in layers that process information."
    },
    {
        "input": "What is deep learning?",
        "output": "Deep learning is a type of machine learning based on artificial neural networks with multiple layers. It's particularly effective for complex pattern recognition tasks."
    },
    {
        "input": "How does fine-tuning work?",
        "output": "Fine-tuning is the process of taking a pre-trained model and adapting it to a specific task by training it on a smaller, task-specific dataset."
    },
    {
        "input": "What is LoRA?",
        "output": "LoRA (Low-Rank Adaptation) is a technique for efficiently fine-tuning large language models by adding trainable low-rank matrices to the model's layers."
    }
]