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# Open Domain Question Answering with LLMs
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import { Tabs, Tab } from 'nextra/components'
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import {Callout} from 'nextra/components'
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## Background
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The following prompt tests an LLM's capabilities to answer open-domain questions which involves answering factual questions without any evidence provided.
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<Callout type="warning" emoji="⚠️">
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Note that due to the challenging nature of the task, LLMs are likely to hallucinate when they have no knowledge regarding the question.
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</Callout>
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## Prompt
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```markdown
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In this conversation between a human and the AI, the AI is helpful and friendly, and when it does not know the answer it says "I don’t know".
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AI: Hi, how can I help you?
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Human: Can I get McDonalds at the SeaTac airport?
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```
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## Code / API
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<Tabs items={['GPT-4 (OpenAI)', 'Mixtral MoE 8x7B Instruct (Fireworks)']}>
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<Tab>
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```python
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from openai import OpenAI
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client = OpenAI()
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response = client.chat.completions.create(
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model="gpt-4",
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messages=[
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{
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"role": "user",
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"content": "In this conversation between a human and the AI, the AI is helpful and friendly, and when it does not know the answer it says \"I don’t know\".\n\nAI: Hi, how can I help you?\nHuman: Can I get McDonalds at the SeaTac airport?"
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}
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],
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temperature=1,
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max_tokens=250,
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top_p=1,
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frequency_penalty=0,
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presence_penalty=0
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)
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```
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</Tab>
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<Tab>
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```python
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import fireworks.client
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fireworks.client.api_key = "<FIREWORKS_API_KEY>"
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completion = fireworks.client.ChatCompletion.create(
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model="accounts/fireworks/models/mixtral-8x7b-instruct",
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messages=[
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{
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"role": "user",
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"content": "In this conversation between a human and the AI, the AI is helpful and friendly, and when it does not know the answer it says \"I don’t know\".\n\nAI: Hi, how can I help you?\nHuman: Can I get McDonalds at the SeaTac airport?",
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}
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],
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stop=["<|im_start|>","<|im_end|>","<|endoftext|>"],
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stream=True,
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n=1,
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top_p=1,
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top_k=40,
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presence_penalty=0,
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frequency_penalty=0,
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prompt_truncate_len=1024,
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context_length_exceeded_behavior="truncate",
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temperature=0.9,
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max_tokens=4000
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)
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```
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</Tab>
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</Tabs>
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## Reference
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- [Sparks of Artificial General Intelligence: Early experiments with GPT-4](https://arxiv.org/abs/2303.12712) (13 April 2023) |