To login into ChatGPT, go to https://chat.openai.com/ and enter the email address and password given at the time of registration. Log in to OpenAI to continue to OpenAI Platform.
To log into ChatGPT, you’ll need to follow these simple steps:
Visit the ChatGPT website: Open your preferred web browser and navigate to the official ChatGPT website at https://chat.openai.com/.
Click on the “Log in” or “Sign up” button: If you already have an OpenAI account, click on the “Log in” button. If you’re new to ChatGPT, click on the “Sign up” button to create a new account.
Enter your credentials or sign up:
- For existing users: Enter your OpenAI email address and password, then click on the “Log in” button.
- For new users: You can sign up using your email address, or you can choose to “Continue with Google” or “Continue with Microsoft Account” to simplify the process.
Start chatting: Once logged in, you’ll be taken to the ChatGPT interface where you can start interacting with the AI.
OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity.
OpenAI releasing a charter that describes the principles we use to execute on OpenAI’s mission. This document reflects the strategy we’ve refined over the past two years, including feedback from many people internal and external to OpenAI. The timeline to AGI remains uncertain, but our charter will guide us in acting in the best interests of humanity throughout its development.
ChatGPT: Optimizing Language Models for Dialogue
OpenAI trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup 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.
OpenAI 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
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 unclear what went wrong with the code without more context. Please provide more detail regarding the expected behaviour of the code and how it falls short. Is this all of the code, or is there more?
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. ChatGPT and GPT 3.5 were trained on an Azure AI supercomputing infrastructure.
Limitations
1. 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.
2. 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.
3. 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.
4. Ideally, the model would ask clarifying questions when the user provided an ambiguous query. Instead, our current models usually guess what the user intended.
5. While we’ve made efforts to make the model refuse inappropriate requests, it will sometimes respond to harmful instructions or exhibit biased behavior.
