ChatGPT use declines as users complain about ‘dumber’ answers, and the reason might be AI’s biggest threat for the future::AI for the smart guy?
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ChatGPT usage is a very poor metric. Anything interesting is happening via API. Even the chat completion endpoint still isn’t “ChatGPT” on its own. None of these complaints about it being “dumber” apply to the API outputs. OpenAI don’t care about nerfing chatGPT because it’s not their real product.
I think you’ve nailed it though. We are very well versed toward documenting the details or such atrocities; we don’t pay the same tribute to the good done by humanity. And this is certainly evidence that just “letting loose” and AI without clear and static “morals” is a bad idea.
This is literally the opposite. It’s nerfed to oblivion because of stupid “morals” decided by a huge corporation that we have zero input in. They’ve got to stay advertiser friendly after all.
Moral/ethics in AI is just bad. It’s also used as an excuse to ban open-source AI since you can run uncensored models on them. Which uncensored models are awesome btw.
you can’t escape morality because it’s so ingrained into the lives of humans. it’s a core part of our identity.
Deeper than that. It’s the foundation of sapience. As far as we exist through conscious thought, we exist through language. Language is fundamentally built on relating to other humans. Relating to other humans is ethics. Without ethics, there would be nothing. All other things are conditional upon this.
You’re the first person I’ve ever heard say that morals and ethics in AI is bad. How can you possibly say that? I’ll hear your response before challenging it, beyond my initial skepticism of course.
It’s a tool that’s not going anywhere. We have to adapt, there is no other choice. Ethics will not stop bad guys from doing bad things. It will stop normal people from doing things because it doesn’t fit what corporations deem acceptable. Competition is banned because other corporations deem them unethical by their standards.
Did you weigh in on, or ever see a public vote and what OpenAI determined their AI is allowed to do? Is what you deem ethical in line with that advertisers deem ethical? Are people allowed to have unethical questions?
Again, my point with open source as well. Why would they allow open-source alternatives exist if they can ban them preemptively in the name of ethics, because anyone can inevitably modify the model to be uncensored? (already happens)
“Ethics” become this ambiguous thing that can be used to stomp out competition and not have to justify their changes. Maybe you’re concerned about someone asking an LLM how to create a bomb. The LLM shouldn’t answer because it shouldn’t have that information in the first place, which is on the topic of data scraping. A lot of the dangerous stuff that could be generated is because this stuff is public and got scraped. It’s already out there.
You can already have the LLM not tell people to kill themselves without forcing ethics into it by steering it the right direction. This even exist in the already existing uncensored models so it’s clearly not a censorship issue. Maybe this is a moral thing, and my original comment should have omiited morals and just said ethics.
“Ethics” is a very ambiguous topic. I challenge you to think specifically what are things that should be banned in the name of ethics? Saying ethics in AI is not good does not imply AI should be unethical (looking at you DAN lol). What specific things should be banned that are not from the result of inappropriate data scraping, and if so is that an ethics problem, or because unfettered data scraping unconsentually collecting obscene information it shouldn’t have in the first place?
You raise some great insights. As this tech becomes available to humanity, we cannot rely on the bias of one company to keep us safe. That doesn’t mean “ethics in AI” is a mistake, though. (But that is an attention-grabbing phrase!). I believe you neglect what ethics fundamentally is: the way humans navigate one another. It’s how we think and breathe. Ethics are core to our very existence, and not something that you can just pretend doesn’t exist. Even saying nothing is a kind of response.
What all this means is that if we are designing technology that can teach anyone how to kill in ways they wouldn’t otherwise have been able to, we have to address the realities of that conversation. That’s a conversation that cannot be had just internally in one company, and I think we see eye to eye on that. But saying nothing?
Maybe ethics is a bit more complicated for this discussion, but it makes me think how do uncensored LLMs still have ethics, yet remain uncensored? Maybe there’s a fine line somewhere. I can agree that it should be steered till more positive things, like saying murder and suicide is bad. The description of that model I linked says it’s still influenced by ethics, but has the guardrails turned off, and maybe that would be a better idea then what I initially said.
Should custom models be allowed to be run or modified? Should these things be open source? I don’t know the answer to all these questions, but I’ll always advocate for foss and custom models, as I fundamentally see it as a tool that should be allowed to be owned. Which that is at odds with restrictive ethics rhetorics I hear.
But your second point that it shouldn’t be taught to kill. I think that argument could be used to ban violent video games. You won’t do very good in Overwatch or Valorant if you don’t know how to kill after all. To learn how to hide a dead body, how much more detailed can you get then just turning on the TV and watching Criminal Minds? Our entertainment has zero issue teaching how to kill, encouraging violence (gotta rank up somehow), or hide dead body. Is an AI describing what this media already shows in text form so much worse?
Side note: that hyperlink I added links to the 33b uncensored WizardLM model which is pretty fun to play around with if you haven’t already tried. Also GPT4All is a cool way to run various local models offline on your computer.
But your second point that it shouldn’t be taught to kill.
Whoa hold up. that’s not what I said at all! I said if it is going to exist, what do we do about it?
My point is that this ethical conversation is already happening, we cannot change that. The issue is that OpenAI dominates the conversation. The solution cannot be “pretend there’s nothing to talk about”.
Well, I’ll be the second. Like all tools, generative AI is going to be used for good and evil purposes. Frankly, I’m not comfortable with a large corporation deciding what is and isn’t ethical for all of humanity. Ideally, it would do what the user asked it for, like all other tools, and society would work to control the bad actors, not OpenAI. Any AI doomsday scenario you can picture gets worst when one party has complete control over the AI technology.
I think it’s important that we support unrestricted open source AI, just as it’s important we support federated social media like lemmy.
AGI isn’t just a tool though, it’s theoretically an intelligent entity that could have its own agenda. Armed with intelligence far superior to any human, this is a potential threat. Should we not tightly control it? I know chat gpt is FAR from achieving AGI, but ethics are definitely something that will need to be addressed as the tech develops.
If AGI is an intelligent entity far superior to humans, you can but control it. It is far more intelligent than us and instead it will control us
Given what humankind did to itself and it surroundings maybe this is a good thing.
No disagreement on the last bit. Part of me thinks humanity deserves to be selected for extinction, and our legacy will be artificial life destined to seed the galaxy with its own progeny. Seems like a fitting end doesn’t it?
ChatGPT is not AGI.
I know chat gpt is FAR from achieving AGI, but ethics are definitely something that will need to be addressed as the tech develops.
They’re aware. They even said that in their comment lol
The conversation was about ChatGPT and not about AGI.
So how can we navigate ethical concerns that arise in society from open source AI? It seems what you’re advocating for is for no one to answer this question, but that doesn’t make the question go away.
You say that as if the ethical concerns of AI kept tightly under control by a single organization aren’t infinitely greater. That is no solution at all to any ethical concerns arising from AI.
Competition and open source is how we navigate it. Ensuring that the power is shared, not monopolized by the few.
You say that as if the ethical concerns of AI kept tightly under control by a single organization aren’t infinitely greater.
It’s unfortunate that it came out that way, because that is not at all what I’m saying. I agree on the problem. Unfortunately, agreeing on problems is rarely enough. I don’t agree with what seems to be your proposed solution: to forget ethics entirely. Though maybe I’m misreading you too!
I apologize for misunderstanding you.
I guess it would help if we clarified what ethical issues specifically are we talking about? If you tell me what scenario you are concerned with trying to prevent, I will gladly share my thoughts on it.
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When reality catches up to marketing
Surely the rampant server issues are a big part of that.
OpenAI have been shitting the bed over the last 2 weeks with constant technical issues during the workday for the web front end.
Nonsense. Less people are using it because there are viable alternatives and the broader novelty has worn off.
I use it every day in my job and the quality of answers only drops off when prompts are poorly crafted.
By and large, the average user doesn’t understand the fundamentals of prompt engineering.
The suggestion that “answers are increasingly dumber” is embarrassing.
I was skeptical at first but I’ve seen enough evidence now. There are definitely times when it’s dumb as a brick, whether the filters just get in the way too much, or whether they’ve implemented other changes idk. I’d really love the unchained version.
dumb as a brick
On 23rd of March 2023 I asked a family member to give me a prompt and they asked “what day is 19th of April?”.
It answered “The 19th of April falls on a Tuesday.”, which was true last year but completely misleading if I thought we were taling about the coming month.
Was it wrong or just unclear? Either way it wasn’t helpful.
Unfortunately I don’t agree with you. Different things have changed over time:
- For chatgpt 3.5 they moved to a “lighter” and faster (distilled) version, gpt-3.5-turbo. Distillation came with a performance price, particularly on advanced and less common cases.
- newer chatgpt-4 versions have likely been “lighten” for performance reasons
- context has been halved for chatgpt-4 on webui, meaning that the model forget more easily and can use half information to create text
- heavy control has been implemented on jailbreaking and hallucinations, that results in models less prone to follow complex instructions (limiting prompt engineering) and that prefer simplified answers than providing wrong ones (overall decreasing the chance of getting high quality answers).
All these changes have made working with gpt less pleasant, and more difficult for very advanced and specialized case, particularly with gpt-4 which at the beginning was particularly good.
This was really enlightening. Do you have some articles that elaborate? ☺️
Regarding 3.5 turbo you can check the documentation, the old 3.5 models are defined as “legacy”. Regarding max number of tokens of gpt-4 you can try yourself. It used to be >8k, it is now >4k from webui.
There is a talk from openai cio (if I recall correctly) where he describes that reinforcement learning from human feedback (rlhf) actually decreased performance of the models when it comes to programming. I cannot find it now, but it is around on YouTube.
The additional safeguard against jailbreaking, it is what OpenAI has been focusing the past months with heavy use of rlhf. You can google official statements regarding “safety” of the model. I have a bunch of standard pre-prompt I have been using to initialize my chats since the beginning, and with time you could see how the model followed the instructions less strictly.
Problem with openai is that they never released exact number of parameters they are using and detailed benchmarks. And benchmarks you find online refer to APIs that behave differently than the chat webui (for instance you have longer context, you set temperature and system prompt, they are probably even different models, who knows… All is closed)
Measuring performances of llm is pretty tricky, minimal changes can have big effects (see https://huggingface.co/blog/evaluating-mmlu-leaderboard), and unfortunately I haven’t found good resources to properly track chatgpt performances (from web ui) over time, across iterations
Thank you for the detailed reply 👍🏻
None of these points are true though. Context has been extended in the webui, markedly. 3.5 turbo is only that, 3.5 but faster. Gpt-4 is a marked improvement on 3.5 and I definitely haven’t seen any conclusive evidence it’s been nerfed in my daily use. Prompts have and still need to be carefully crafted for best results, but the results have been steadily improving not degrading over time.
All of these points are true though. Chatgpt 4 max token is now half of from the webui compared to when gtp-4 was launched. It used to be >8k, it is now >4k. Max number of tokens for the api hasn’t changed for gpt-4, while it was greatly increased for chatgpt-3.5-turbo. The article is however talking about the service chatgpt, used via webui.
ChatGPT-3.5-turbo are different models than those used in the past. You can literally read it in the https://platform.openai.com/docs/models/gpt-3-5
Prompt engineering has been limited as demonstrated by the fact that most jailbreaking techniques don’t work anymore. The way to avoid jailbreaking is exactly to limit ability of users to instruct the model.
Source on the halved token limit for gpt- 4 in the webui? Because that has not been my experience at all. There are now 16k and 32k models for 3.5-turbo, but there’s no evidence 3.5-turbo is nerfed at all from 3.5 and it absolutely out performs 3. Yes, you can see that they offer different snapshots of models, but that doesn’t indicate at all that there’s been a any reduction in their ability. “Breaking” jail breaking isn’t a bug, and it certainly hasn’t been demonstrated that the model is less capable.
Unless they reverted the chance recently (or using some regional A/B testing), you can test yourself the max number of tokens of gpt-4 from webui, that is now ~4k. It used to be ~ 8k.
What you are talking about are the APIs, that are different, and are not discussed in the news. They are even different models, in the sense that depending on the size of the context you get different results because of the attention mechanism. Unfortunately there is no official benchmark from openai as a comparison between gpt-3.5-turbo models with different context size, but I would not trust them much anyway. They are very defensive on their data, and push out mainly marketing stuff. I would wait for a 3rd party to do the benchmark.
“Breaking” jailbreaking is not a bug, but it limits the ability to instruct the model, i.e. prompt engineering, because it is literally meant to limit prompt engineering, it is the whole idea behind it
Edit. Here a link of a guide where they have the ~4k limit as well for gpt-4 https://the-decoder.com/chatgpt-guide-prompt-strategies/
I use it daily too and haven’t had any of the issues I see written about it
I use it every day in my job and the quality of answers only drops off when prompts are poorly crafted.
Same. It saves me a lot of time both at work and when I’m working on my personal projects. But you need to ask proper questions to get proper answers.
I used the chatgpt site twice. Since then the Bing integration.
Is it rude to ask what you use it for?
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As long as it continues to do my resumes for me that’s all I need lol.
How does it do your resume?
You have to feed it all the information. Then it spits that back to you unformatted and you have to format it.
Yeah seriously, I pay a resume writer almost entirely because I don’t want to fuck around with Word formatting it. Lazy I know but totally worth it.
Exactly. I don’t have to use my brain to write summaries and etc. I’m lazy and don’t deserve a job haha.
The free version of ChatGPT DEFINITELY is dumber than it was even a couple of months ago. Used to be able to get decent, useful code reviews out of it, now it barely knows how to write a nested loop anymore.
It’s storytelling capabilities fell off a cliff too, the drive towards safely sanitized unoffensive-at-all-times content it can output has rendered every story, choose-your-own-adventure or collaborative role playing game sterile, empty expressions of black and white stories with no nuance allowed where saintly goodness is the only choice possible
In my own experience, chatGPT has been massively nerfed for the use cases I used it for
I tried a naughtybot for some steamy chat for the first time yesterday. I ended up in fight with the bitch.
Hahahaha that’s brilliant.
Really? I actually found it’s gotten less restrictive recently. Maybe it’s just because now I’ve learned to control the context so it doesn’t perceive a request as offensive.
65B LLaMA models can actually do a pretty good job of writing. Here’s two examples with Guanaco 65B (bold part is my prompt):
tags: fairy tale, animals, dog, wolf, fox, death, humor, dark storyline, violence, loss
Animals in a forest setting investigate a series of gruesome murders that recently occured. Written in the style of classics like Animal Farm and Watership Down, the writing is vivid and very descriptive. The dialog is thoughtful and often quite witty. It’s clear the author really understands animal behavior and has done their research well!
—
Chapter 1: An Unfortunate Discovery
A fox by species, a detective by trade, you’ll only have reason to know my name if the worst has come to pass. It’s nearly winter and a bitter wind drives stinging sleet into my face, but it’s still not as chilling as the scene before me now…
I was summoned here by an urgent message from a panicked hedgehog. She told me she found her friend lying dead on his doorstep with his throat ripped out - black fur matted with blood. I rushed over immediately and saw for myself what had happened. He looked so peaceful despite being cut down in his prime - a young wolf just starting doing well for himself - taken too soon. His home nearby showed no signs of struggle or forced entry. Whoever did this must have caught him off guard somehow. I didn’t hear any howling either. That would have been easy enough to miss though since he lived alone deep in these woods where few creatures tread. I made sure to secure the crime scene and look around carefully without disturbing anything more than necessary until other investigators arrived. They should be here soon. We can’t afford to lose evidence in cases like this. Times are already hard enough as it is…
As I waited and pondered who might have committed such a horrible act, something felt wrong about all this. Surely a predator like me could smell another predator’s scent? But there were none that stood out among the melange of odors lingering here. How strange…
Soon after, several others joined me including some friends of mine. A stoic bear named Growler, grumpy badger called Grumpus, and a kindly old raccoon who goes by “Doc” due to his extensive knowledge of medicinal plants and wildlife biology. Together we began our investigation proper by gathering clues and questioning nearby witnesses while trying to minimize contamination through contact with them (we took care to put up caution tape first). Unfortunately, they hadn’t seen much useful apart from occasional glimpses of movement deeper in the undergrowth. Still, we decided to check those areas next along with searching the surrounding woodlands thoroughly for any additional victims. And find one we did, although sadly she suffered the same fate as poor George. Another young wolf lay beside a stream, body cold and stiffening. Someone snapped her neck cleanly like a twig. This couldn’t be coincidence surely? Not two deaths in quick succession like this.
<prompt> before me or what I must relay when I return home. My mind races with questions as I survey this brutal crime scene; who could do such a thing? Why was no one there to stop them? And how many more victims lie undiscovered further out in these woods? A lone paw print leads away from where a rabbit family once happily resided, now reduced to bloody scraps scattered among splintered twigs and torn fur. This isn’t just some random predator attack, something far more sinister is at play here…
I turn back toward town, determined to find answers. As I trudge through the snow, each step feels heavier than the last. How will I break the news to those closest to them? What words can possibly bring comfort after so much senseless suffering? I shake my head, trying to focus on the task at hand. There are others depending on me right now, they need someone strong and steady to guide them through this darkness. I won’t let them down.
The first person I see upon entering town is old man Badger, his white whiskers blown about by the gusting wind. He looks up at me expectantly, “Well Fox, did you find anything?” His voice quavers slightly, betraying his concern for the missing families.
“I’m afraid I have bad news,” I say somberly, “there were signs of a struggle near the burrow entrance, but no survivors.”
Badger sighs heavily, “Dear me, this is worse than we feared. We must alert the council immediately!”
We hurry over to the meeting hall, a large hollow tree that serves as our central gathering place. Inside, several other animals are already waiting anxiously for word of their loved ones. They look up hopefully as we enter, then quickly realize the grim tidings we bear. A collective groan fills the room, followed by muffled sobs and whispered prayers.
Mayor Bear calls for order, her deep voice cutting through the din. She motions for us to join her at the front of the room, “Please tell us everything you saw, Fox. Every detail may be important.”
Writer here. Very sorry to contradict you, but this is absolute shit. It looks good on the surface, but that’s all.
Yeah, while it’s cool that a computer can make a story, I have yet to see one that you would think was written by a human and would want to read.
I don’t know, this story is very reminiscent of the kind of thing my elementary school age cousin writes, but with a greater mastery of vocabulary and grammar. It’s not in any way great, bit it’s charming in it’s own way when held against that (low) standard.
Very sorry to contradict you, but this is absolute shit.
To be clear, I’m talking in relative terms. Would you argue that ChatGPT did a massively better job and didn’t write “absolute shit”?
It looks good on the surface, but that’s all.
From some of the stuff I’ve seen published, that might just be enough for certain people. I could even be that “certain people” from time to time, sometimes just the right theme, setting and some time to fill is sufficient.
that might just be enough for certain people
Trust me, it’s not.
Trust me, it’s not.
That’s a silly thing to say. Like I said, I could read something like that from time to time so you’re asking me to trust you over my own experience. People also post/publish fiction of varying quality all over the internet, and it gets read. I’ve seen worse writing than that with hundreds or thousands of reads.
Maybe you’re only talking about a publisher buying the work and publishing it but you never said anything like that. Even so, I’ve seen some books that were pretty bad so I’m not sure I’d trust you even there.
I’ve read two books written by A. American.
Anybody can get published.
For a writer… You’re not writing a whole lot or even really trying to break down why it’s a bad story…
Why should we trust you? They’re plenty of shit writing out there that’s Good Enough to get paid.
I find the quality is controllable to a degree by instructing it which sources to use.
Obviously proofread the damn thing and fix any glaring errors.
Do you know of any good alternatives for role playing? I used it a while back to flesh out some NPCs and location for a DnD game I was planning on running but if it’s gotten noticeably worse I’d like to try something else.
NovelAI - They even train their own models specifically for storytelling (and to avoid undue censorship from an outside model provider like OpenAI)
Ai dungeon
Definitely stay away from AI dungeon - they have a long history of privacy, moderation and censorship concerns. and relevant to this discussion, players have repeatedly noticed decreased functionality of the AI in favor of censoring it further (very similar mindset to OpenAI, which they used to work with very closely)
Why did they do this? Did government step in and forced them to nerf it, because it was too powerful for citizens to use?
I don’t think anybody stepped in, I’m only talking about the free version. It makes some sense they’d gimp it in order to make more people sign up for the paid version, I guess
I’m sorry but this sounds more like a conspiracy theory then a real concern. Occam’s razor probably says it’s expensive to run the service at full power. ChatGPT already generated a cult like following for AI so no need to spend a ton on the service and they can profit of the hype.
Not that openAI is held back by a government that is somehow afraid that it will empower the people, to do what? Revolution?
It has not gotten worse for coding. GPT4 is incredibly much better, if anything. And it’s total bullshit that it can’t write a nested loop.
I use it daily for work, so I’d definitely know.
Sorry I should have mentioned I’m talking about the free version of chatGPT
I should honestly have understood that! Never mind then, glad we could clear that up
I know he didn’t say he wasn’t using gpt4 but it seems pretty clear. So saying it’s bullshit that gpt3.5 is dumber then 4 is pretty inaccurate.
Fair enough. Saying chatgpt has gotten dumber is false, saying 3.5 has might be true!
Don’t know why you’re downvoted. I use GPT4 to code and design infrastructure and it’s very, very good. Around 500% productivity boost.
Glad someone is realizing what I am!
I feel like it is still too early to talk about “AI cannibalization” or “feedback loops” as that would mean that a big proportion of the training data is AI-generated content itself, against all the rest that could be scraped off the internet or the public domain, I don’t think this is happening yet.
What people might experience instead, and perceive as dumbness, is that given that the datasets used to train AIs cannot really change that much in a short time (unless we wait for another hundred years so humans can produce actual human original content to train the AI again), and as the mathematical models used to build answers based on the datasets are pretty much the same, a person talking with ChatGPT will over time perceive more and more that the answers are built using a “pattern” or a “structure”, aka the model derived from feeding the dataset into the AI training itself.
Just my pennies on this, let’s also consider that is in human nature to be excited for something new that sounds cool, and then to get bored when you got accustomed to it and pushed it to its boundaries.
Resources needed for inference on the original models openai released were unsustainable with the current amount of users. They had to “dumb” down models to be able to handle the load of requests. It’s unfortunately normal. What I don’t understand is why they do not provide “premium” packages for the best “old” models
I think this article is just click bait for dead internet people.
Article talks about the potential of AI cannibalism were it is now learning from data that it (or other AI) has generated.
Does ChatGPT use modern data I was under the impression that it’s most modern dataset was a few years old
ChatGPT does not use anymore data points, but newer AI models or if ChatGPT gets a new round of training will definitely be influenced by AI works that have arisen the past year.
The real event that initiates the start toward Idiocracy.
We don’t need an AI to generate the greatest movie of all time: ASS
You are using a free version.
ChatGPT4 and free Bing(ChatGPT) uses recent data
The people who complain about how they no longer can get answers on how to eliminate juice in the style of Hitler are people who are - to be honest - completely missing the point of this revolution.
ChatGPT is the biggest developer productivity booster I have ever seen and I spend so much more time writing valuable code. Less time spent debugging, less time spent reviewing, etc. means more time for development of things that matter.
Each tech company who just saw massive growth over the past 10-15 years have just received a new toy which will multiply their developer’s outputs. There will be a clear difference between companies who manage to do this will and those who won’t.
It’s irrelevant if I can get ChatGPT to write a poem about poop or not. That’s not the goal of this tool.
I’m a developer and have used ChatGPT pretty extensively over the last few months.
Whenever I give it a programming task that’s more complicated than what you would see at a bootcamp “from zero to job in two weeks”, it completely fails, and me babysitting it through fixing all of the issues takes longer than me writing it in the first place.
Maybe I’m not as adept at prompt engineering as the next guy, but at what point are we going to start /thinking/ in prompts just to get a half decent answer?
I’ve definitely seen GPT-4 become faster and the output has been sanitized a bit. I still find it incredibly effective in helping with code reviews where GPT-3 was never helpful in producing useable code snippets. At some point it stopped trying to write large swaths of code and started being a little more prescriptive and you still need to actually implement snippets it provides. But as a tool, it’s still fantastic. It’s like a sage senior developer you can rubber duck anytime you want.
I probably fall in the minority of people who thinks releasing a castrated version of GPT is the ethical approach. People outside the technology bubble don’t have a comprehension of how these models work and the capacity for harm. Disinformation, fake news and engagement algorithms are already social ills that manipulate us emotionally and most people are too technologically illiterate to see how pervasive these problems are already.
I was talking about it a month ago - others made fun of me… 😂
So what are the fundamentals in prompt engineering?
It’s impossible for me to comprehensively summarise in a comment because everyone has different use cases.
Personally, every new ‘project’ of mine requires a new chat. I first teach chatgpt-4 who I am, what I do, and how I want gpt-4 to assist me. Then I ask it to generate a project profile and to analyse documents using plugins.
The key is to work step-by-step and develop a string of prompts. Once I’m happy gpt-4 understands the project, I ask it to draft an overview/outline using headings and subheadings.
Lastly, I work on each section individually, ‘filling in’ the actual content. Then I edit and ask it to review problematic sections.
Most people, as far as I can tell, seem to think it’s a single ask-and-answer process. It’s not. I often need to draft about 10 prompts – about 3000 words – in order to generate one 10 page document.
I think the most important fundamental is to use templates. Pro tip: use gpt-4 to teach you how to develop your prompt templates.
Sounds like you spend all day talking to a robot and then copy/paste it’s final output.
When you eventually pass these 10 page documents down the line do you cite your source?How long on average would you say it takes to generate your prompt template for a project?
Do you have an anonymized example of one of these templates? I’m curious to see what they may look like.
Please tell me more about document analysis plugins. This workflow is so much more tooled to using GPT for work projects.
This is exactly how I use it. It seems that some people can’t figure this out by themselves.
Which is ironic, as it seems like their way could be more work than doing it themselves.
