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72 lines
2.4 KiB
Markdown
72 lines
2.4 KiB
Markdown
# Adding Odd Numbers with LLMs
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import { Tabs, Tab } from 'nextra/components'
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## Background
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This prompt tests an LLM's mathematical capabilities by prompting it check if adding odd numbers add up to an even number. We will also leverage chain-of-thought prompting in this example.
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## Prompt
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```markdown
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The odd numbers in this group add up to an even number: 15, 32, 5, 13, 82, 7, 1.
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Solve by breaking the problem into steps. First, identify the odd numbers, add them, and indicate whether the result is odd or even.
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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": "The odd numbers in this group add up to an even number: 15, 32, 5, 13, 82, 7, 1. \nSolve by breaking the problem into steps. First, identify the odd numbers, add them, and indicate whether the result is odd or even."
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}
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],
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temperature=1,
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max_tokens=256,
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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": "The odd numbers in this group add up to an even number: 15, 32, 5, 13, 82, 7, 1. \nSolve by breaking the problem into steps. First, identify the odd numbers, add them, and indicate whether the result is odd or even.",
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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://www.promptingguide.ai/introduction/examples#reasoning) (13 April 2023) |