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deep-yearning t1_j4qesyy wrote

It's best use is as an assistant, provided it is accurate. So far in my tests it has been pretty good at writing boilerplate code and email/letter templates. Better than githubs copilot for code.

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ureepamuree t1_j4qggbw wrote

Totally agreed. Even if it is capable of doing more, we should treat it as a level 3 equivalent of autonomous vehicles.

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Haunting-Ad-5191 t1_j4qia9y wrote

I mean some kind of home assistant that integrates CHATGPT is obvious right? If Alexa was as responsive and good at understanding what I want as chatGPT Id let Jeffy Bezo listen to whatever he wants

Although it'd probably take too long to load or give wordy responses. Plus it'd have to be able to open and use other apps not just respond with words. But I feel like combining these technologies is a no brainer

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TrueBirch t1_j4r4u2n wrote

>combining these technologies is a no brainer

Agreed. I look at the GPT family of models as infrastructure. The real potential comes from layering specific applications on top of it. Imagine every random high school baseball game got a writeup on the local news website. You'd need to ingest sports data and do other pipeline work, but the result could be profitable.

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Franck_Dernoncourt t1_j4sbgvu wrote

> I mean some kind of home assistant that integrates CHATGPT is obvious right?

How do you handle the fact that some answers are inaccurate?

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LetGoAndBeReal t1_j4t6yb6 wrote

I'm a bit unclear why this announcement is so significant, and frankly I'm not even sure I understand it. We already have API access to the text-davinci-003 model, and my understanding is that ChatGPT basically uses the same model with a small amount of incremental tuning.

Is this announcement just saying that this marginally revised model will now be available as a model option through the OpenAI API? If so, what benefit does this provide over the API access using text-davinci-003?

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gdpoc t1_j4s74zi wrote

ChatGPT, coupled with a dynamic, searchable (log(n) query) knowledge graph, and an algorithm to optimize that graph to maximize educational growth.

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Franck_Dernoncourt t1_j4sbqee wrote

For which downstream application?

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gdpoc t1_j4sc11w wrote

Education first.

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Franck_Dernoncourt t1_j4scxq2 wrote

Wouldn't ChatGPT inaccuracies be an issue if used for education?

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gdpoc t1_j4ssata wrote

Chat gpt (large language models, in general) is a great generalist and would be likely very useful in predicting 'root node' locations in a knowledge graph which would allow finding the correct content from a minimal subset.

Chat gpt sucks with details, yes, but for use in a recommendation algorithm which depends on the graph, I think that issue could be minimized.

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