This article discusses the first draft of the Model Spec, a document by OpenAI that outlines the desired behavior for their models in the OpenAI API and ChatGPT. The Model Spec provides guidelines for researchers and data labelers to create data using a technique called reinforcement learning from human feedback (RLHF). It also includes a set of core objectives and guidance on how to deal with conflicting objectives or instructions. The Model Spec is part of OpenAI's efforts to ensure that their models are used in safe and pro-social ways and is complemented by their policies for the use of the API and ChatGPT. OpenAI is also working on techniques that enable their models to directly learn from the Model Spec. The document will be continuously updated based on feedback from stakeholders.
Key takeaways:
The Model Spec is a document that outlines the desired behavior for models in the OpenAI API and ChatGPT.
The Spec is intended to guide researchers and data labelers in creating data for reinforcement learning from human feedback (RLHF).
The Spec includes objectives, rules, and defaults to guide model behavior, with the aim of maximizing steerability and control for users and developers.
The Spec will be continuously updated based on feedback from stakeholders and learnings from its deployment.
