131–140 of 143 posts
The fact that you can put in garbage unstructured data, ask it questions, and then "convert" it to JSON is kind of magical. It's like computers have a new analog/organic input system. [0] Also, been recently playing with ways to generate API code plumbing without any schema layers. (Swagger/OpenAPI/Proto) [1] [0] https://twitter.com/vyrotek/status/1640417769303977984 [1] https://twitter.com/vyrotek/status/16401423852…
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You can run into issues with long running threads. It only has so much context (I think around 4K words). It doesn’t have all the context of all the thread. My understanding is that it is summarizing the thread and resubmitting it as part of the prompt each time. It took me a while to figure out why it kept forgetting things from earlier in the thread. I’m looking forward to when you can have a bigger context or expl…
32k words with GPT-4, no? That's what they said in the demo video.
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You can run into issues with long running threads. It only has so much context (I think around 4K words). It doesn’t have all the context of all the thread. My understanding is that it is summarizing the thread and resubmitting it as part of the prompt each time. It took me a while to figure out why it kept forgetting things from earlier in the thread. I’m looking forward to when you can have a bigger context or expl…
32k words with GPT-4, no? That's what they said in the demo video.
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So I have yet to use ChatGPT (I know, I know), but are you able to keep long running threads with it? How does it know context about your app? Are you simply copying and pasting code? This is really cool to hear about.
You can run into issues with long running threads. It only has so much context (I think around 4K words). It doesn’t have all the context of all the thread. My understanding is that it is summarizing the thread and resubmitting it as part of the prompt each time. It took me a while to figure out why it kept forgetting things from earlier in the thread. I’m looking forward to when you can have a bigger context or expl…
4k _tokens_, 1 token is approx. 3/4 a word. So it's roughly 3k words
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I am dreading the inevitable future day when I have to argue about a denied health insurance claim on the phone with a fucking robot prompted to make it as difficult as possible for me to win.
Why would you do that when you can dispatch your own AI to argue for you?
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Edit, changed it to an improved promo using ChatGPT from my original which is here: "Argue bot 10 series, 3x more likely to get you a cheaper deal than the 1000 series, for only an additional $999 per month"
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I'm seeing similar, chatgpt replacing a lot of external libraries and digging through the weeds to find the right endpoint. After all, why bother dealing with so many external libraries to get it done when you can just relay the core ones you must use and ask chatgpt to flesh out the rest in a way that suits your needs? Need a component to be gamepad accessible written in Vue? Ask and you'll receive. No more botherin…
If you're not using external libraries that are maintained by other people, how do you handle your code's maintainability in the long-term? Keep asking ChatGPT to fix it when things break?
A self contained bundle of software with no external dependencies cannot break, because it has no externally changing parts, that should be obvious.
I did a medical lab test the other day and I've been trying for several days to reach my original doctor who for some reason I still can't get. I don't know what to make of the abbreviations and scales on the document and I sure as hell wasn't going to visit another doctor and pay a fee to grok it without a need to or google each line to find out I have "cancer or some other random ailment". By chance I was using cgp…
It will take me forever otherwise to find out that the shortform CR2 means second complete remission.
I've got a thread going with ChatGPT about an app I'm building. It knows all of the libraries I'm using, and has seen the main App component, the Router and many of the key components. I'm asking it about every task I need to do, feature I need to implement, bug I need to fix. Basically rubber ducking with it and talking through everything I'm doing as if it were my coworker. It's reducing my time to solve problems b…
For example, anything with MacOS predates Ventura, so it will think the Mac is on Python 2 and has no awareness of a host of new APIs/SDKs for hardening.
On the other hand, if you're doing it regularly, you are also learning how to frame your interaction to keep it on point rather than hallucinating positivity. Once you hit that stride, it's indeed a handy little rubber duck!
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that wouldn't happen though because the program would see that the user didn't in fact change their policy.
Didn't they? Or was it a system error? Perhaps the LLM has no record of it because the user's sister's boyfriend called in with a different phone number and misstated the policy number. But the change was definitely supposed to go through. In fact it's an absurd failure on the insurance company's fault for not processing that change correctly. Let me speak to the manager! I'm calling the Department of Insurance and r…
Sort by personality? Yep. I asked it to pretend to be a clinical psychiatrist and then asked it to tell me about celebrities personalities that closely matched "calm, thoughtful, and introverted".
I've been running similar experiments with creating groups of actors' responses that conform to groups of personality types: the four humours, blood type, etc...