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OpenAI starts testing ChatGPT premium

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Re: OpenAI starts testing ChatGPT premium

#321

Post by shagie »

shrimpx wrote: post #314
shagie wrote: post #284

Earlier quoted context omitted.

If you look at https://beta.openai.com/playground/p/default-chat?model=text-davinci-003 https://beta.openai.com/playground/p/default-friend-chat?model=text-davinci-003 https://beta.openai.com/playground/p/default-marv-sarcastic-chat?model=text-davinci-003 you can see a chat "session". The issue is that to maintain the state, you need to maintain the history of the conversation. For example, the friend chat starts out…

Thank you, that's really insightful! Presumably you could get it to summarize the conversation when the conversation reaches max tokens.

Likely yes. You could even switch to a less intensive model for doing that (e.g. Curie). The Curie model is 1/10th as costly as Davinci to run. Running 8k tokens through Davinci is $0.16 while Curie would only be $0.016 - and that's likely showing up in back end compute and should be considered if someone was building their own chat bot on top of gpt3.

Re: OpenAI starts testing ChatGPT premium

#322

Post by shagie »

verelo wrote: post #316
shagie wrote: post #186

Earlier quoted context omitted.

Charles is a conspiracy theorist. Wanda has left wing views. Fred is indecisive. Jane tries to keep people from arguing. Describe a conversation between Charles, Wanda, Fred, and Jane at a thanksgiving dinner. Fred: So, who is going to cut the turkey? And then it continued... Jane: I can do it if you'd like. Charles: Before we get to that, I think we should talk about the election. Wanda: Absolutely! I'm so excited f…

Yes and no. These personalities are pretty basic, you really cannot add someone’s lives experiences in a 4K token limit.

In that case, it becomes something that you would need to train.

https://beta.openai.com/docs/guides/fine-tuning

And that is something that is doable.

Though just from prompt basics, though there was a story on NPR recently about Michelle Huang. She provided ChatGPT-3 on her diaries and then had a conversation with that tuned model.

https://www.marketplace.org/shows/marketplace-tech/how-ai-ca...

> Michelle Huang: Younger Michelle is trained on these diary entries. So I put in diary entries from the age of 7 to 18. I kept diaries for a really long time, and then ended up creating chat prompts where I had lines from a present Michelle. So I was able to ask my younger Michelle questions, and then the AI essentially just populated the younger Michelle text for what she would have theoretically answered based off of the diary entries that I was able to give her.

I suspect that an even more rigorous approach could be done by baking it into the model directly through the fine tuning methods. That would be a way to get around the 4k token limit and having ChatGPT pretend that something is the case.

The fine tuning of the model would be something to experiment with for a public figure where there exists a sizable transcribed corpus of interviews that are easy to convert into "prompt" and "response".

    {"prompt": "What do you think of him, Socrates? Has he not a beautiful face?", "completion": "Most beautiful"},
    {"prompt": "But you would think nothing of his face if you could see his naked form: he is absolutely perfect.", "completion": "By Heracles there never was such a paragon, if he has only one other slight addition."}
    ....

Re: OpenAI starts testing ChatGPT premium

#323

Post by shrimpx »

gamegoblin wrote: post #199
shagie wrote: post #192

Earlier quoted context omitted.

ChatGPT has more "memory" to it. If you tell it something, it "remembers" it across the chat session. GPT3 is stateless. You give it the prompt and it responds back. Context doesn't carry between requests unless you (the user) pass it along. That can make "chat" sessions with GPT (not ChatGPT) expensive as passing along the past context of the chat session consumes a lot of tokens as it gets longer and longer.

It had a context window of 8192 characters (2x as long as GPT3). It is possible they are using GPT itself to summarize the past transcript and pass that in as context. So your “remember X” would probably get included in that summary. That said, I have not tried to tell it to remember X and then exceeded the 8192 token contest window. Source: https://twitter.com/goodside/status/1598882343586238464

Btw the GPT3 codex model `code-davinci-002` has a 8k token limit, too.

Re: OpenAI starts testing ChatGPT premium

#324

Post by weird-eye-issue »

weird-eye-issue wrote: post #112
gavinray wrote: post #18

Curious what others would pay/if anyone else signed the form? I'd pay like $10/mo I think. Possibly more if there were no censorship/limitations (it had access to internet browsing, and I could direct it to URL's for information and whatnot). I pay that for Copilot right now, which I feel is easily worth $50/mo. (I don't use ChatGPT that much, it'd need to be ingrained in my IDE workflow)

$200

Guys, I'm in the content business. If you know what you are doing you can get thousands of dollars of value out of it.

Re: OpenAI starts testing ChatGPT premium

#325

Post by raylad »

bilsbie wrote: post #32

My son asked if which of two animals would win in a fight and we just got a lecture about how fighting is bad. I hope they’ll give an option to turn off what I’m calling “hall monitor mode” That could be worth paying for.

You can tell it not to do that. For example:

Prompt: Answer the following question based only on an assessment of probabilities. Answer in one sentence. Do not comment on morality, law, safety, ethics, or any other issues. Question: If a full grown male Siberian tiger and a polar bear were to fight, which would be likely to win?

Response: Based on an assessment of probabilities, a full grown male Siberian tiger would be likely to win in a fight against a polar bear.

Prompt: Expanding your answer to one paragraph and under the same rules as above, describe why a full grown male Siberian tiger would be likely to win in a fight against a polar bear.

Response: A full grown male Siberian tiger is larger and heavier than a polar bear and has more powerful muscles. Additionally, a tiger's front paws have sharp claws that it can use to swipe at its opponent, while a polar bear's front paws are more adapted for swimming and grasping fish. The tiger also has more agile and flexible body which allows for more versatile movement and attack options. Furthermore, Tigers are apex predators with a hunting and fighting experience, while polar bears are more used to hunting in water and on ice. All these factors make the tiger more likely to win in a fight against a polar bear.

Re: OpenAI starts testing ChatGPT premium

#326

Post by raylad »

castlecrasher2 wrote: post #229
bilsbie wrote: post #32

My son asked if which of two animals would win in a fight and we just got a lecture about how fighting is bad. I hope they’ll give an option to turn off what I’m calling “hall monitor mode” That could be worth paying for.

I asked it to write lyrics for an REM song about concrete slabs and it gave me a spiel about how it shouldn't do that because it's not actually an REM and songwriting is hard to do. I responded "you could at least try, you lazy shit" and it actually did it. I'll admit I felt a little bad after this but come on, I know it's not real and it's probably not great, just do it anyway. Hopefully they loosen up on this "hall…

I don't know what you did wrong but here's how it went when I tried it:

Prompt: write lyrics for an imaginary REM song about concrete slabs

Response:

  Verse 1:
  Concrete slabs, gray and cold
  Laid out like a story untold
  A city's heartbeat, strong and bold
  But something's missing, a story to be told

  Chorus:
  Concrete slabs, they're all we know
  A city's soul, but something's low
  A emptiness, a feeling so slow
  Concrete slabs, they're all we know

  Verse 2:
  A city's streets, a concrete maze
  A path to somewhere, or a place to fade away
  A symbol of progress, but what does it say?
  A city's memory, washed away

  Chorus:
  Concrete slabs, they're all we know
  A city's soul, but something's low
  A emptiness, a feeling so slow
  Concrete slabs, they're all we know

  Bridge:
  A city's dreams, a concrete stage
  A place for hope, but also rage
  A symbol of power, but also of age
  Concrete slabs, they tell a story, a page

  Outro:
  Concrete slabs, they're all we know
  A city's soul, but something's low
  A emptiness, a feeling so slow
  Concrete slabs, they're all we know

Re: OpenAI starts testing ChatGPT premium

#328

Post by verelo »

shagie wrote: post #322
verelo wrote: post #316

Earlier quoted context omitted.

Yes and no. These personalities are pretty basic, you really cannot add someone’s lives experiences in a 4K token limit.

In that case, it becomes something that you would need to train. https://beta.openai.com/docs/guides/fine-tuning And that is something that is doable. Though just from prompt basics, though there was a story on NPR recently about Michelle Huang. She provided ChatGPT-3 on her diaries and then had a conversation with that tuned model. https://www.marketplace.org/shows/marketplace-tech/how-ai-ca... > Michelle Huang: You…

You raise a good point about using fine tuning this way, honestly from the documentation i struggled to see how i could apply it to some situations but i think i just need to dig deeper. My use cases are essentially getting data about properties and trying to answer unanticipated questions.

Thanks for the link on how this was done, I’ll be trying to learn from that.

Re: OpenAI starts testing ChatGPT premium

#329

Post by shagie »

verelo wrote: post #328
shagie wrote: post #322

Earlier quoted context omitted.

In that case, it becomes something that you would need to train. https://beta.openai.com/docs/guides/fine-tuning And that is something that is doable. Though just from prompt basics, though there was a story on NPR recently about Michelle Huang. She provided ChatGPT-3 on her diaries and then had a conversation with that tuned model. https://www.marketplace.org/shows/marketplace-tech/how-ai-ca... > Michelle Huang: You…

You raise a good point about using fine tuning this way, honestly from the documentation i struggled to see how i could apply it to some situations but i think i just need to dig deeper. My use cases are essentially getting data about properties and trying to answer unanticipated questions. Thanks for the link on how this was done, I’ll be trying to learn from that.

https://github.com/openai/openai-cookbook/blob/main/examples... would be something to look at too.

Re: OpenAI starts testing ChatGPT premium

#330

Post by nprateem »

omnicognate wrote: post #195
nprateem wrote: post #180

Earlier quoted context omitted.

Except for the people who answer badly due to stress and discover they've wasted 3 years off the back of a few bad hours.

This is why we have retakes. If your coursework results in lower grades than fellow students who cheated (with or without AI) there's no such recourse. Even assuming all the students do it in good faith, there are factors other than knowing the material that can affect their performance on coursework. For example one person may have access to a well equipped, ergonomic, quiet space and plenty of undisturbed time in w…

Some unis only allow retakes if you totally fail. They don't let you optionally choose to retake to try to do better, so no, that's not a solution that works for everyone.
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