2. Which model is better between the two?
Answering your ﬁrst question:
Reducing-Learner-to-Human (RLHF) is a hierarchical approach in a hybrid learning model,
where a model with limited capabilities is trained to assist a human expert in a speciﬁc task.
The core goal is to leverage the strengths of both the human and the model to enhance their
combined performance.
Answering your second question:
The better model depends on factors such as the task, data quality, model complexity, and the
required performance. However, in general, OpenAssistant seems to be a robust model with
impressive performance in several tasks. However, by training an LLM (such as InstructGPT)
on top of OpenAssistant, you can leverage its strengths and address its limitations to create
an even better model.
However, it is crucial to understand that becoming a better human assistant than OpenAssis-
tant is subjective and depends on various aspects. It is important to identify your speciﬁc
WizardLM- Empowering Large Language Models to Follow Complex Instructions