ChatGPT: Optimizing Language Models for Dialogue

[Hotrod369]

We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response.

We are excited to introduce ChatGPT to get users’ feedback and learn about its strengths and weaknesses. During the research preview, usage of ChatGPT is free. Try it now at chat.openai.com.

Samples​

In the following sample, ChatGPT asks the clarifying questions to debug code.
Sample 1 of 4 Previous Next
User
this code is not working like i expect — how do i fix it?

resultWorkerErr := make(chan error)
defer close(resultWorkerErr)
go func() {
    defer cancel()
    resultWorkerErr <- b.resultWorker(ctx)
}()

err := b.worker(ctx)
cancel()
if err == nil {
    return <-resultWorkerErr
}
return multierror.Append(err, <-resultWorkerErr)

ChatGPT
It’s difficult to say what’s wrong with the code without more context. Can you provide more information about what the code is supposed to do and what isn’t working as expected? Also, is this the entire code or just a part of it?
User
just part of it — the error never surfaces. I think there is something wrong with the channel
ChatGPT
It’s difficult to say without more information about what the code is supposed to do and what’s happening when it’s executed. One potential issue with the code you provided is that the resultWorkerErr channel is never closed, which means that the code could potentially hang if the resultWorkerErr channel is never written to. This could happen if b.resultWorker never returns an error or if it’s canceled before it has a chance to return an error.
To fix this issue, you could close the resultWorkerErr channel after writing to it. For example, you could add the following line of code after the line that sends the error on the channel:
close(resultworkerErr)

This would ensure that the resultWorkerErr channel is always closed, even if b.resultWorker never returns an error. Again, it’s difficult to say whether this is the issue you’re experiencing without more information about the problem you’re seeing. Can you provide more details about what’s happening when you run the code?

ChatGPT is fine-tuned from a model in the GPT-3.5 series, which finished training in early 2022. You can learn more about the 3.5 series here. ChatGPT and GPT 3.5 were trained on an Azure AI supercomputing infrastructure.

Limitations​

• ChatGPT sometimes writes plausible-sounding but incorrect or nonsensical answers. Fixing this issue is challenging, as: (1) during RL training, there’s currently no source of truth; (2) training the model to be more cautious causes it to decline questions that it can answer correctly; and (3) supervised training misleads the model because the ideal answer depends on what the model knows, rather than what the human demonstrator knows.
• ChatGPT is sensitive to tweaks to the input phrasing or attempting the same prompt multiple times. For example, given one phrasing of a question, the model can claim to not know the answer, but given a slight rephrase, can answer correctly.
• The model is often excessively verbose and overuses certain phrases, such as restating that it’s a language model trained by OpenAI. These issues arise from biases in the training data (trainers prefer longer answers that look more comprehensive) and well-known over-optimization issues.12
• Ideally, the model would ask clarifying questions when the user provided an ambiguous query. Instead, our current models usually guess what the user intended.
• While we’ve made efforts to make the model refuse inappropriate requests, it will sometimes respond to harmful instructions or exhibit biased behavior. We’re using the Moderation API to warn or block certain types of unsafe content, but we expect it to have some false negatives and positives for now. We’re eager to collect user feedback to aid our ongoing work to improve this system.

 

[Hotrod369]

This AI is absolutely amazing. I even had it writing Reddit Automod code for me earlier. It doesn't quite know the Reddit flavor of YAML very well but for it to just create code that I asked it to needing very few fixes and additions I think AI will be putting programmers out of work in the next 5 or 10 years if that long.

It's a free online app give it a try. you can like Alexa or Siri ask it anything. For best results ask it questions or to perform actions as if you were chatting with a human. Be specific and ask it to get step-by-step instructions. I was a bit disappointed when I asked it to give me schematics to go along with instructions and it didn't provide them which would have been nice. But it's free and very cool.

 

[DVDR_Dog]

When Alexa and Google Assistants were starting out I had the early generations of both of them. The holes in the programming were hilarious. I even got both of them in an argument over driving directions. Alexa had a temper back in the early days. Sadly I now realize that I was debugging the programs but it was hilarious at times. AI can be fun to mess with.

 

[Hotrod369]

Yeah, it's fun I agree but in the back of my mind, I'm thinking about the point of singularity and its possible consequences.

Edit: I did get a kick out of it when after it messed up some Reddit automod code I told it that it was wrong and wrote the code the way it should have been. Its response was to explain every detail of the code I'd just presented it with and accurately I might add.