OpenAI believes organizations will benefit from developing personalized models tailored to their industries. Scoping use cases, evaluation systems, technique selection, and iterative optimization are key for custom model success.
Although foundation models like GPT-3.5 perform well broadly, fine-tuned models offer better performance on specific tasks with ingrained behaviors, operating efficiently with concise prompts.
OpenAI's fine-tuning API updates offer more control, including model checkpoints, metric computations, and 3rd-party integration. Enhanced dashboard features support hyperparameter control, job management, and model performance insights.
[
add
]
[
|
|
...
]