open_ai_list_style_nad_final

gistfile1.txt

<ul>
    <li class="mb-8 border-b-2 border-gray pb-8">
      <h3>
        <span class="font-bold mr-2">temperature</span>
        <span class="text-gray-500 mr-2 bg-gray-100 px-2 rounded text-xs">number or null</span>
        <span class="text-gray-500 mr-2 bg-gray-100 px-2 rounded text-xs">Optional</span>
        <span class="text-gray-500 bg-gray-100 px-2 rounded text-xs">Defaults to 1</span>
      </h3>
      <p class="text-gray-600">
        What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
      </p>
      <p class="text-gray-600">
        We generally recommend altering this or top_p but not both.
      </p>
    </li>
    <li class="mb-8 border-b-2 border-gray pb-8">
      <h3>
        <span class="font-bold mr-2">top_p</span>
        <span class="text-gray-500 mr-2 bg-gray-100 px-2 rounded text-xs">number or null</span>
        <span class="text-gray-500 mr-2 bg-gray-100 px-2 rounded text-xs">Optional</span>
        <span class="text-gray-500 bg-gray-100 px-2 rounded text-xs">Defaults to 1</span>
      </h3>
      <p class="text-gray-600">
        An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.
      </p>
      <p class="text-gray-600">
        We generally recommend altering this or temperature but not both.
      </p>
    </li>
    <li class="mb-4">
      <h3>
        <span class="font-bold mr-2">user</span>
        <span class="text-gray-500 mr-2 bg-gray-100 px-2 rounded text-xs">number or null</span>
        <span class="text-gray-500 bg-gray-100 px-2 rounded text-xs">Optional</span>
      </h3>
      <p class="text-gray-500">
      A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. <a href="#">Learn more</a>.
      </p>
    </li>