A modern programming language built for data, AI, and speed.

// Ingest tabular data and train on GPU
import data
import tensor
import ai

fn main() {
    // 1. Zero-copy dataset load
    let df = data.read_csv("training.csv")
    let clean_df = df.filter(df["score"] > 0.8)

    // 2. Direct conversion to GPU Tensor
    let x_train = tensor.from(clean_df.features(), device: "gpu")
    let y_train = tensor.from(clean_df.labels(), device: "gpu")

    // 3. Neural Model Definition
    let model = ai.Sequential([
        ai.Dense(128, activation: "relu"),
        ai.Dense(64, activation: "relu"),
        ai.Dense(1)
    ]).to("gpu")

    let opt = ai.Adam(model.parameters(), lr: 0.001)

    // 4. Training Step
    for epoch in 0..100 {
        let pred = model.forward(x_train)
        let loss = ai.mse_loss(pred, y_train)
        opt.step(loss)
    }

    print("Training complete. Loss: ", loss.item())
}