ChatGPT is a new model [trained by OpenAI](https://openai.com/blog/chatgpt) that has the capability to interact in a conversational way. This model is trained to follow instructions in a prompt to provide appropriate responses in the context of a dialogue. ChatGPT can help with answering questions, suggest recipes, write lyrics in a certain style, generate code, and much more.
ChatGPT is a new model [trained by OpenAI](https://openai.com/blog/chatgpt) that can interact conversationally. This model is trained to follow instructions in a prompt to provide appropriate responses in the context of a dialogue. ChatGPT can help with answering questions, suggesting recipes, writing lyrics in a certain style, generating code, and much more.
ChatGPT is trained using Reinforcement Learning from Human Feedback (RLHF). While this model is a lot more capable than previous GPT iterations (and also trained to reduce harmful and untruthful outputs), it still comes with limitations. Let's cover some of the capabilities and limitations with concrete examples.
@ -40,7 +40,7 @@ From the example above, you can see two important components:
- the **intent** or explanation of what the chatbot is
- the **identity** which instructs the style or tone the chatbot will use to respond
The simple example above works well with the text completion APIs that uses`text-davinci-003`. More recently, OpenAI [announced the ChatGPT APIs](https://openai.com/blog/introducing-chatgpt-and-whisper-apis), which is a more powerful and cheaper model called `gpt-3.5-turbo` was specifically built for this type of functionality (chat completions). In fact, OpenAI recommends this is as their best model even for non-chat use cases. Other benefits of using the ChatGPT APIs are the significant cost reduction (90%) and efficiency.
The simple example above works well with the text completion APIs that use `text-davinci-003`. More recently, OpenAI [announced the ChatGPT APIs](https://openai.com/blog/introducing-chatgpt-and-whisper-apis), which is a more powerful and cheaper model called `gpt-3.5-turbo` was specifically built for this type of functionality (chat completions). OpenAI recommends this as their best model even for non-chat use cases. Other benefits of using the ChatGPT APIs are significant cost reduction (90%) and efficiency.
Big companies like Snap Inc. and Instacart are already integrating conversational features powered by ChatGPT on their products that range from personalized recommendations to open-ended shopping goals.
@ -49,7 +49,7 @@ Big companies like Snap Inc. and Instacart are already integrating conversationa
### Multi-turn Conversations
To begin demonstrating the capabilities of ChatGPT, we will use the chatbot assistant example above and discuss results. Compared to `text-davinci-003`, the `gpt-3.5-turbo` model that powers ChatGPT uses a chat format as input. The model expects a series of messages as input, and uses those to generate a response.
To begin demonstrating the capabilities of ChatGPT, we will use the chatbot assistant example above and discuss the results. Compared to `text-davinci-003`, the `gpt-3.5-turbo` model that powers ChatGPT uses a chat format as input. The model expects a series of messages as input and uses those to generate a response.
*Input:*
```
@ -83,11 +83,11 @@ openai.ChatCompletion.create(
]
)
```
In fact, the way developers interact with ChatGPT in the future is expected to be done via the [Chat Markup Language](https://github.com/openai/openai-python/blob/main/chatml.md) (ChatML for short).
The way developers interact with ChatGPT in the future is expected to be done via the [Chat Markup Language](https://github.com/openai/openai-python/blob/main/chatml.md) (ChatML for short).
### Single-turn tasks
The chat format enables multi-turn conversations but it also supports single-turn tasks similar to what we used with `text-davinci-003`. This means we can use ChatGPT to perform similar tasks as what we have demonstrated for the original GPT models. For example, let's try to perform the following questionanswering task using ChatGPT:
The chat format enables multi-turn conversations but it also supports single-turn tasks similar to what we used with `text-davinci-003`. This means we can use ChatGPT to perform similar tasks as what we have demonstrated for the original GPT models. For example, let's try to perform the following question-answering task using ChatGPT:
Brandon Awan
1 year ago