ChatGPT’s user experience and implementation ‘should have Google scared’

We’ve trained a model called ChatGPT which interacts conversationally. The dialogue format allows ChatGPT to answer follow-up questions, admit mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to?InstructGPT, which is trained to follow the 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 clarifying questions to debug code. (1/4)

USER

this code is not working as I expect — how do I fix?it?

resultWorkerErr := make(chan error)
defer close(resultWorkerErr)
go fund() {
	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. 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?

Methods

We trained this model using Reinforcement Learning from Human Feedback (RLHF), using the same methods as InstructGPT, but with slight differences in the data collection setup. We trained an initial model using supervised fine-tuning: human AI trainers provided conversations in which they played both sides—the user and an AI assistant. We gave the trainers access to model-written suggestions to help them compose their?responses.

To create a reward model for reinforcement learning, we needed to collect comparison data, which consisted of two or more model responses ranked by quality. To collect this data, we took conversations that AI trainers had with the chatbot. We randomly selected a model-written message, sampled several alternative completions, and had AI trainers rank them. Using these reward models, we can fine-tune the model using?Proximal Policy Optimization. We performed several iterations of this?process.

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.

Iterative deployment

Today’s research release of ChatGPT is the latest step in OpenAI’s?iterative deployment?of increasingly safe and useful AI systems. Many lessons from the deployment of earlier models like GPT-3 and Codex have informed the safety mitigations in place for this release, including substantial reductions in harmful and untruthful outputs achieved by the use of reinforcement learning from human feedback?(RLHF).

We know that many limitations remain as discussed above and we plan to make regular model updates to improve in such areas. But we also hope that by providing an accessible interface to ChatGPT, we will get valuable user feedback on issues that we are not already aware?of.

Users are encouraged to provide feedback on problematic model outputs through the UI, as well as on false positives/negatives from the external content filter which is also part of the interface. We are particularly interested in feedback regarding harmful outputs that could occur in real-world, non-adversarial conditions and feedback that helps us uncover and understand novel risks and possible mitigations. You can choose to enter the?ChatGPT Feedback Contest3?for a chance to win up to?$500 in API credits.[1]

No purchase necessary, void where prohibited. Must be at least 18 to enter. For contest details, see the?Official Rules.

Entries can be submitted via the feedback form that is linked in the ChatGPT?interface. We are excited to carry the lessons from this release into the deployment of more capable systems, just as earlier deployments informed this?one.

Posted By Saeed Al Hasan ?

OpenAI #userexperience #google #language #language #cars #iq #enhance #motivation #mentalhealth #help #vibes #positivevibes #mindset #energy #steps #business #influencer #marketing #dubai #uae #travel #mydubai #dubailife #abudhabi #love #dxb #photography #emirates #instagood #burjkhalifa #photooftheday #travelphotography #travelgram #dubaimall #instagram #fashion #picoftheday #sharjah #??? #visitdubai #beautiful #oman #vacation #desert #dubaifashion #dubaimarina #instatravel #wanderlust #linkedin #dubai #facebook #uae #instagram #twitter #recruitment #burjkhalifa #socialmedia #abudhabi #jobs #sales #mydubai #unitedarabemirates #finance #luxury #hotels #investment #marketing #vacancy #timeoutdubai #photography #nyc #emirates #instagood #burjalarab #snapchat #uaejobs #sharjah #jumeirah #project #projectmanagement #projects #projectmanager #product #productdesigner #productmanagement #productmanager #softwaredevelopment #softwaremanagement #developers #data #video #job #neuralnetworks???#job #dubai #uae #work #life #jobs #mydubai #dxb #culture #jobsearch #abudhabi #instagood #unitedarabemirates #business #j #instajob #uaejobs #photooftheday #love #emirates #travel #google #dxbjobs #gulfjob #gcc #d #g #uaejob #jobindubai #office #jobinsharjah #gulf?#people #ai #artificialintelligence #machinelearning #metaverse #web3 #innovation #india #management #humanresources #digitalmarketing #technology #creativity #Future #futurism #entrepreneurship #Careers #Markets #Startups #Marketing #SocialMedia #VentureCapital #SocialNetworking #building #LeanStartups #Economy #Economics #estimote. #beacon #ibeacon #dubaiculture #industry40 #aws #server #serverless #composer #nationaleducationday #uaenationalday #productivity