Training Recipe

Definitions

1. A practical specification for how to train a model, including data setup, optimizer, schedules, regularization, and engineering tricks that together produce a desired outcome. Training recipes matter because seemingly small details can affect performance a lot.

   In plain English: A practical set of instructions for how to train a model successfully.

   Example: "They adopted a proven training recipe from earlier internal runs instead of improvising hyperparameters from scratch."

Related Terms

• Next Token Prediction
• Noise Injection
• Objective Function
• Preference Data
• Refusal Training
• Reward Signal
• Self-Supervised
• Training Curriculum