that requires a signiﬁcant amount of resources and expertise.</s>
Training a LLM (Language Model with Learning) using RLHF (Reinforcement Learning
with Human Feedback) methods based on InstructGPT can be a complex process that requires
expertise in both natural language processing and machine learning. Here are some general
steps you can take to create a human assistant that exceeds open assistants in performance,
accuracy, and utility:
Deﬁne the task: You need to deﬁne the speciﬁc task your assistant will perform. For example,
answering questions about a particular topic or helping with a speciﬁc task such as scheduling.
The more speciﬁc the task, the easier it will be to train the model.
Collect training data: You need to collect a large amount of training data that is relevant to the
task. This data should be diverse and cover a wide range of scenarios. You can use existing
datasets or create your own.
WizardLM- Empowering Large Language Models to Follow Complex Instructions