When training a chatbot like Open Assistant, good initial prompts are crucial for obtaining the desired behavior. Here are some qualities that make up good initial prompts:

1. **Clear and Specific**: The prompt should be easy to understand and not be ambiguous. This helps the chatbot to provide a more accurate and relevant response.

2. **Relevant**: The prompt should be related to the task or problem you're trying to solve. It should guide the chatbot towards the kind of behavior you want to see.

3. **Concise**: A prompt that is too long may confuse the model, while one that is too short might not provide enough context. Striking a balance is key.

4. **Informative**: The prompt should ideally contain all the information the chatbot needs to produce a useful response. However, avoid overloading it with unnecessary details.

5. **Engaging**: For conversation-based models, it helps if the prompt is engaging and encourages further interaction. This can lead to a more fluid and natural dialogue.

6. **Tested for Iteration**: A good prompt is often not the first one you come up with. It's advisable to test multiple variations and iterate based on performance and response quality.

7. **Tailored to the Model's Capabilities**: Understand the strengths and weaknesses of the specific model you're using and tailor your prompts accordingly.

8. **Ethical and Non-Biased**: Make sure the prompt does not lead the chatbot to generate harmful, misleading, or biased content.

9. **Pragmatic**: Sometimes practical considerations, such as computational resources or time constraints, might affect the complexity or length of the prompt you can use.

10. **Goal-Oriented**: Always have a clear goal in mind—whether it's customer support, data retrieval, general conversation, etc.—and make sure your prompt aligns with that goal.

By paying attention to these aspects, you'll be more likely to create effective initial prompts that help your chatbot perform well in its designated tasks.
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