全网最详细中英文ChatGPT接口文档（四）30分钟快速入门ChatGPT——Models模型

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目录

• Models
  • Overview 概述
  • GPT-4 Limited beta
  • GPT-3.5
  • Feature-specific models 特定功能的模型
  • Finding the right model 寻找合适的模型
  • DALL·E Beta
  • Whisper Beta
  • Embeddings 嵌入
  • Codex Limited beta
  • Moderation 审核
  • GPT-3
  • Model endpoint compatibility 模型端点兼容性
  • Continuous model upgrades 持续模型升级
• 其它资料下载

Models

Overview 概述

The OpenAI API is powered by a diverse set of models with different capabilities and price points. You can also make limited customizations to our original base models for your specific use case with fine-tuning.

OpenAI API由一组具有不同功能和价位的模型提供支持。您还可以通过微调针对您的特定使用情形对我们的原始基本模型进行有限的自定义。

We have also published open source models including Point-E, Whisper, Jukebox, and CLIP.

我们还发布了开源模型，包括Point-E、Whisper、Jukebox和CLIP。

Visit our model index for researchers to learn more about which models have been featured in our research papers and the differences between model series like InstructGPT and GPT-3.5.

请访问我们的模型索引，以了解更多关于我们的研究论文中介绍了哪些模型，以及InstructGPT和GPT-3.5等模型系列之间的差异。

GPT-4 Limited beta

GPT-4 is a large multimodal model (accepting text inputs and emitting text outputs today, with image inputs coming in the future) that can solve difficult problems with greater accuracy than any of our previous models, thanks to its broader general knowledge and advanced reasoning capabilities. Like gpt-3.5-turbo, GPT-4 is optimized for chat but works well for traditional completions tasks.

GPT-4是一个大型的多模态模型（今天接受文本输入并输出文本，未来会有图像输入），由于其更广泛的一般知识和先进的推理能力，它可以比我们以前的任何模型更准确地解决难题。与 gpt-3.5-turbo 一样，GPT-4也针对聊天进行了优化，但也适用于传统的完成任务。

GPT-4 is currently in a limited beta and only accessible to those who have been granted access. Please join the waitlist to get access when capacity is available.

GPT-4目前处于有限的测试阶段，只有那些被授予访问权限的人才能访问。请加入等待名单，以便在容量可用时获得访问权限。

For many basic tasks, the difference between GPT-4 and GPT-3.5 models is not significant. However, in more complex reasoning situations, GPT-4 is much more capable than any of our previous models.

对于许多基本任务，GPT-4和GPT-3. 5模型之间的差异并不显著。然而，在更复杂的推理情况下，GPT-4比我们以前的任何模型都要强大得多。

GPT-3.5

GPT-3.5 models can understand and generate natural language or code. Our most capable and cost effective model in the GPT-3.5 family is gpt-3.5-turbo which has been optimized for chat but works well for traditional completions tasks as well.

GPT-3.5模型可以理解并生成自然语言或代码。GPT-3.5系列中功能最强大、最具成本效益的模型是 gpt-3.5-turbo ，它已针对聊天进行了优化，但也适用于传统的完成任务。

We recommend using gpt-3.5-turbo over the other GPT-3.5 models because of its lower cost.

我们建议使用 gpt-3.5-turbo 而不是其他GPT-3.5模型，因为它的成本更低。

OpenAI models are non-deterministic, meaning that identical inputs can yield different outputs. Setting temperature to 0 will make the outputs mostly deterministic, but a small amount of variability may remain.

OpenAI模型是不确定的，这意味着相同的输入可能产生不同的输出。将温度设置为0将使输出基本上具有确定性，但可能仍存在少量变化。

Feature-specific models 特定功能的模型

While the new gpt-3.5-turbo model is optimized for chat, it works very well for traditional completion tasks. The original GPT-3.5 models are optimized for text completion.

虽然新的 gpt-3.5-turbo 模型针对聊天进行了优化，但它对传统的完成任务也非常有效。原始GPT-3.5模型针对文本完成进行了优化。

Our endpoints for creating embeddings and editing text use their own sets of specialized models.

我们用于创建嵌入和编辑文本的端点使用它们自己的专用模型集。

Finding the right model 寻找合适的模型

Experimenting with gpt-3.5-turbo is a great way to find out what the API is capable of doing. After you have an idea of what you want to accomplish, you can stay with gpt-3.5-turbo or another model and try to optimize around its capabilities.

试验 gpt-3.5-turbo 是了解API功能的好方法。当你对你想要完成的事情有了一个想法之后，你可以继续使用 gpt-3.5-turbo 或其他模型，并尝试围绕它的功能进行优化。

You can use the GPT comparison tool that lets you run different models side-by-side to compare outputs, settings, and response times and then download the data into an Excel spreadsheet.

您可以使用GPT比较工具，该工具允许您并行运行不同的模型，以比较输出、设置和响应时间，然后将数据下载到Excel电子表格中。

DALL·E Beta

DALL·E is a AI system that can create realistic images and art from a description in natural language. We currently support the ability, given a prommpt, to create a new image with a certain size, edit an existing image, or create variations of a user provided image.

DALL·E是一个人工智能系统，可以从自然语言的描述中创造出逼真的图像和艺术。我们目前支持的能力，给予提示，以创建一个新的图像与一定的大小，编辑现有的图像，或创建一个用户提供的图像的变化。

The current DALL·E model available through our API is the 2nd iteration of DALL·E with more realistic, accurate, and 4x greater resolution images than the original model. You can try it through the our Labs interface or via the API.

通过我们的API提供的当前DALL·E模型是DALL·E的第二次迭代，具有比原始模型更真实、更准确和分辨率高4倍的图像。您可以通过我们的实验室界面或通过API进行尝试。

Whisper Beta

Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification. The Whisper v2-large model is currently available through our API with the whisper-1 model name.

Whisper是一种通用的语音识别模型。它是在一个大的数据集上训练的，并且是一个多任务模型，可以执行多语言语音识别以及语音翻译和语言识别。Whisper v2-large模型目前可通过我们的API获得，模型名称为 whisper-1 。

Currently, there is no difference between the open source version of Whisper and the version available through our API. However, through our API, we offer an optimized inference process which makes running Whisper through our API much faster than doing it through other means. For more technical details on Whisper, you can read the paper.

目前，Whisper的开源版本和通过我们的API提供的版本之间没有区别。然而，通过我们的API，我们提供了一个优化的推理过程，这使得通过我们的API运行Whisper比通过其他方式快得多。想了解更多关于Whisper的技术细节，你可以阅读报纸。

Embeddings 嵌入

Embeddings are a numerical representation of text that can be used to measure the relateness between two pieces of text. Our second generation embedding model, text-embedding-ada-002 is a designed to replace the previous 16 first-generation embedding models at a fraction of the cost. Embeddings are useful for search, clustering, recommendations, anomaly detection, and classification tasks. You can read more about our latest embedding model in the announcement blog post.

嵌入是文本的数字表示，可用于度量两段文本之间的相关性。我们的第二代嵌入模型 text-embedding-ada-002 旨在以很小的成本取代之前的16个第一代嵌入模型。嵌入对于搜索、聚类、推荐、异常检测和分类任务非常有用。您可以在公告博客中阅读更多关于我们最新嵌入模型的信息。

Codex Limited beta

The Codex models are descendants of our GPT-3 models that can understand and generate code. Their training data contains both natural language and billions of lines of public code from GitHub. Learn more.

Codex模型是GPT-3模型的后代，可以理解和生成代码。他们的训练数据既包含自然语言，也包含来自GitHub的数十亿行公共代码。 了解更多信息。

They’re most capable in Python and proficient in over a dozen languages including JavaScript, Go, Perl, PHP, Ruby, Swift, TypeScript, SQL, and even Shell.

他们最擅长Python，精通十几种语言，包括JavaScript、Go、Perl、PHP、Ruby、Swift、TypeScript、SQL，甚至Shell。

We currently offer two Codex models:

我们目前提供两种Codex模型：

For more, visit our guide on working with Codex.

欲了解更多信息，请访问我们的Codex使用指南。

Moderation 审核

The Moderation models are designed to check whether content complies with OpenAI's usage policies. The models provide classification capabilities that look for content in the following categories: hate, hate/threatening, self-harm, sexual, sexual/minors, violence, and violence/graphic. You can find out more in our moderation guide.

审核模型被设计用来检查内容是否符合OpenAI的使用策略。这些模型提供了分类功能，可按以下类别查找内容：仇恨、仇恨/威胁、自残、性、性/未成年人、暴力和暴力/图形。您可以在我们的审核指南中找到更多信息。

Moderation models take in an arbitrary sized input that is automatically broken up to fix the models specific context window.

审核模型接受任意大小的输入，这些输入被自动分解以修复模型特定的上下文窗口。

GPT-3

GPT-3 models can understand and generate natural language. These models were superceded by the more powerful GPT-3.5 generation models. However, the original GPT-3 base models (davinci, curie, ada, and babbage) are current the only models that are available to fine-tune.

GPT-3模型能够理解和生成自然语言。这些型号被更强大的GPT-3.5代模型所取代。但是，原始GPT-3基本模型（davinci、 curie 、 ada 和 babbage ）是当前唯一可进行微调的模型。

Model endpoint compatibility 模型端点兼容性

This list does not include our first-generation embedding models nor our DALL·E models.

此列表不包括我们的第一代嵌入模型和DALL·E模型。

Continuous model upgrades 持续模型升级

With the release of gpt-3.5-turbo, some of our models are now being continually updated. In order to mitigate the chance of model changes affecting our users in an unexpected way, we also offer model versions that will stay static for 3 month periods. With the new cadence of model updates, we are also giving people the ability to contribute evals to help us improve the model for different use cases. If you are interested, check out the OpenAI Evals repository.

随着 gpt-3.5-turbo 的发布，我们的一些模型现在正在不断更新。为了减少模型更改以意外方式影响用户的可能性，我们还提供了将在3个月内保持静态的模型版本。随着模型更新的新节奏，我们还让人们能够贡献评估，以帮助我们针对不同的用例改进模型。如果您感兴趣，请查看OpenAI Evals存储库。

The following models are the temporary snapshots that will be deprecated at the specified date. If you want to use the latest model version, use the standard model names like gpt-4 or gpt-3.5-turbo.

以下模型是将在指定日期弃用的临时快照。如果要使用最新的模型版本，请使用标准模型名称，如 gpt-4 或 gpt-3.5-turbo 。

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