GPT-J for fine-tuning
There is a practical gap between experiments with models and production-grade automation that reliably executes work. Builders routinely move from toy scripts and prompt hacks to fragile chains of too
Introduction: Why this matters
Imagine a product team planning a new feature while dozens of related tasks—data preparation, model training, A/B tests, security reviews—spin up across different tool