Benefits

• Temporal Awareness: Captures sequence dynamics via self‑attention and causal masking.

• Multi‑Modal Support: Embed text, categorical, and numeric features seamlessly.

• Scalable GPU Stack: End‑to‑end acceleration (NVTabular → Triton). Low inference latency.

Limitations

• Resource Intensive: Fine‑tuning consumes GPU hours; plan budgets accordingly.

• Cold‑Start Challenges: Sparse users/items fall back to popularity baselines.

• Data Sensitivity: Model performance highly correlated to data quality—noisy logs degrade accuracy.

Optimization Strategies

1. Data Cleaning: Deduplicate interactions, remove bots/spam, threshold minimal user history.

2. Accurate input data: The recommendations will only be as good as its finetuning data quality.