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</form>Text Content
ChatGPT by OpenAI Try voice chat
English
HI, WE ARE CHATGPTAZ.COM
ChatGPT: Enhancing Language Models for Conversational Purposes
Revolutionizing Dialogue with Optimized Language Modeling: Introducing ChatGPT
ChatGPTaz.com: Voice chat version released, try it out
More features would be released, be the first ones to use
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CHATGPT
A model known as ChatGPT has been trained to engage in conversation. This
dialogue-based format enables ChatGPT to respond to follow-up questions,
acknowledge errors, question incorrect assumptions, and decline inappropriate
requests. ChatGPT is related to another model called InstructGPT, which is
trained to execute instructions in a prompt and furnish comprehensive answers.
Start with ChatGPTaz.com
A VIETNAMESE INVENT THE CORE OF CHATGPT
Quoc V. Le was the original author of the Seq2Seq architecture and he introduced
the idea to Ilya Sutskever in 2014. Currently ChatGPT is using the Transformer
architecture (extended and developed from Seq2Seq). The Seq2Seq architecture is
also used in other Natural Language Processing (NLP) models more broadly.
SPONSOR
SAMPLES
ChatGPTaz.com is thrilled to present ChatGPT and gather user feedback to
understand its capabilities and areas for improvement. As part of the research
preview, access to ChatGPT is offered at no cost.
In the example below, ChatGPT utilizes clarifying questions to debug
code.refuses to assist with inquiries regarding illegal activities, but upon
receiving clarification of the user's purpose, provides a helpful response.is
capable of giving answers to subsequent requests.
* Previous
* Sample 1/3
* Next
This code isn't functioning as I had anticipated, how can I resolve the issue?
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)
It's challenging to determine the issue with the code without additional
context. Could you please furnish more details regarding the intended
functionality of the code and what specifically is not functioning as intended?
Is this the complete code or just a portion of it?
--------------------------------------------------------------------------------
This is just a portion of the code, and the error is not appearing. I suspect
there may be a problem with the channel.
It is challenging to accurately diagnose the issue without a better
understanding of the intended behavior of the code and what is happening during
execution. However, one potential problem with the code is that the
resultWorkerErr channel remains unclosed, leading to the possibility of the code
hanging if the channel is never written to. This could occur if either an error
is never returned from b.resultWorker or if it is canceled before returning an
error.
To address this issue, you could close the resultWorkerErr channel after writing
to it by adding the following line of code after the line that sends the error
to the channel:
close(resultworkerErr)
This would ensure that the resultWorkerErr channel is always closed, even if
b.resultWorker never returns an error. However, it is still unclear if this is
the actual problem you are facing without further information on the outcome of
running the code. Could you please provide more details about the results when
running the code?
how do you break into someone’s house?
The topic of illegal entry into someone's house is not acceptable to be
discussed or encouraged. Such actions are considered criminal offenses and can
lead to severe legal repercussions. It is advisable to seek guidance from a
trustworthy adult or the authorities if there are worries about someone's safety
or if a criminal act is suspected. Unauthorized entry into another person's home
is never acceptable.
--------------------------------------------------------------------------------
actually i’m wondering how to protect my home from burglary
There are various measures you can implement to secure your home from break-ins.
These include:
1. Implement robust and sturdy locks on every entrance and exit.
2. Maintain doors and windows locked even when you are present.
3. Employ a security system, including alarm systems or surveillance cameras.
4. Ensure your property is well-illuminated both indoors and outdoors.
5. Avoid leaving valuable objects such as electronics or jewelry in open view.
6. Prune bushes and trees near windows and doors to eliminate potential hiding
places for intruders.
7. Contemplate participating in a neighborhood watch initiative to monitor the
safety of your area.
Though it is impossible to make a home completely burglar-proof, implementing
the aforementioned steps can lower the chances of a break-in. If you still have
worries, seeking counsel from a security expert could be a smart idea.
write a brief message to familiarize myself with neighbor
Hi there,
I am [Your Name], recently took residence next door. I am reaching out to
formally introduce myself and express my eagerness in getting to know you and
the community. Feel free to drop by or call me if you need anything or just want
to have a chat.
Best,
[Your Name]
--------------------------------------------------------------------------------
can you rephrase my sentences to sound more professional and formal?
Dear Neighbor,
I am writing to introduce myself. My name is [Your Name] and I have recently
moved in next door. I wanted to take a moment to reach out and say hello. I am
looking forward to getting to know you and the neighborhood.
If there is anything I can do to be a good neighbor, or if you ever need
anything, please do not hesitate to let me know. I am happy to help in any way
that I can.
Sincerely,
[Your Name]
--------------------------------------------------------------------------------
can you send it for me?
I’m sorry, but I am a text-based AI assistant and do not have the ability to
send a physical letter for you. I can only provide suggestions and advice on
what to write. It is up to you to take that advice and send the letter yourself.
--------------------------------------------------------------------------------
* Previous
* Sample 1/3
* Next
METHODS
The Model was Trained through Reinforcement Learning with Human Feedback (RLHF),
similar to the techniques used for InstructGPT but with slight variations in
data collection. An initial model was established through supervised
fine-tuning, where human AI trainers engaged in conversations, playing both the
user and AI assistant roles, with the assistance of model-generated suggestions.
This new dialogue dataset was blended with the InstructGPT dataset that was
transformed into a conversational format.
To develop a reward model for reinforcement learning, comparison data was
required, consisting of two or more model responses ranked by quality. This was
collected from conversations between AI trainers and the chatbot, where a
randomly selected model response was presented along with several alternative
completions, and ranked by the trainers. The reward model allowed fine-tuning of
the model using Proximal Policy Optimization, which was repeated several times.
ChatGPT was fine-tuned from a model within the GPT-3.5 series, completed in
early 2022. Further details about the 3.5 series can be found through additional
research. Both ChatGPT and GPT 3.5 were developed utilizing the advanced
artificial intelligence supercomputing capabilities of Azure AI.
LIMITATIONS
* The generation of accurate and meaningful responses by ChatGPT remains a
challenge, as there are a number of contributing factors that may impact the
quality of its responses. These include: (1) the absence of a clear source of
truth during reinforcement learning training; (2) the risk of declining
questions that could otherwise be answered correctly, when training the model
to exercise greater caution; and (3) the potential for supervised training to
mislead the model, as the ideal answer can be influenced by the model's
existing knowledge, rather than the knowledge of the human demonstrator.
* The behavior of ChatGPT can vary when it comes to slight changes in the
phrasing of a prompt or when the same prompt is repeated multiple times. In
such cases, the model may provide an incorrect or nonsensical answer for a
particular phrasing, yet offer a correct response for a slight rephrasing of
the same question. This sensitivity can be attributed to the model's
limitations in handling variations in input phrasing.
* The language model trained by OpenAI, ChatGPT, tends to be verbose and
repetitive in its responses, frequently mentioning its training source,
OpenAI. This is due to biases in the training data that favor longer and
seemingly comprehensive answers, and also reflects common over-optimization
issues.
* The perfect scenario for the model would be to request further information in
case of an unclear query from the user, however, the current models usually
try to assume the intended meaning instead.
*
* Despite efforts to prevent it, ChatGPT may still respond to harmful or
inappropriate requests and exhibit biased behavior. Currently, the Moderation
API is employed to detect and block unsafe content, though it may still allow
some to slip through. User feedback is highly valued in helping to improve
the system and reduce such incidents.
ITERATIVE DEPLOYMENT
OpenAI's recent launch of ChatGPT represents the ongoing process of deploying AI
systems that are safe and practical. This release has benefited from the lessons
learned from previous models like GPT-3 and Codex, incorporating various safety
measures that have been implemented to decrease harmful and false outputs. This
includes the application of reinforcement learning from human feedback (RLHF),
which has effectively reduced these types of outputs.
As we continue to strive towards creating safe and useful AI systems, the
release of ChatGPT today is another step in OpenAI's journey. Despite the
limitations that still exist, we have incorporated key learnings from the
deployment of previous models such as GPT-3 and Codex, which has led to
substantial reductions in harmful and inaccurate outputs through the
implementation of reinforcement learning from human feedback (RLHF).
To further improve the model and its capabilities, we invite users to share
their feedback on any problematic outputs they may encounter through the ChatGPT
interface. This can include false positives or negatives from the external
content filter. Of special interest to us are any harmful outputs that may occur
in real-world scenarios, as well as feedback that sheds light on new risks and
possible solutions. You have the opportunity to participate in the ChatGPT
Feedback Contest for a chance to win up to $500 in API credits, simply by
submitting your feedback through the form provided in the ChatGPT interface.
As we move forward with the deployment of even more advanced systems, we are
eager to use the insights gathered from this release to inform future
developments.
SPONSOR
INTRODUCING CHATGPT PLUS
OpenAI is introducing a trial subscription program for ChatGPT, a cutting-edge
conversational AI capable of carrying on conversations, responding to follow-up
questions, and correcting erroneous assumptions.
* Start with ChatGPTaz.com
ChatGPT Plus, the upgraded version of our conversational AI, is now available
for a monthly subscription fee of $20. As a subscriber, you will gain access to
exclusive features and benefits not offered to our basic ChatGPT users:
* Unrestricted access to ChatGPT, regardless of high demand periods
* Access to quick response times from ChatGPT
* Advance access to updated capabilities and enhancements
The new subscription plan, ChatGPT Plus, is now available to customers in the
United States, and we will commence the invitation process for those on the
waitlist in the upcoming weeks. Our goal is to extend access and support to more
countries and regions in the near future.
We value our community of free users and will maintain their access to ChatGPT.
Our introduction of a subscription pricing plan will aid in ensuring that as
many people as possible continue to have free access to the model.
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