So replacing SEO blog spam with ChatGPT is not an improvement. Blog spam optimises for SEO rules, ChatGPT optimises to sound like legitimate (but wrong) blog spam.
So replacing SEO blog spam with ChatGPT is not an improvement. Blog spam optimises for SEO rules, ChatGPT optimises to sound like legitimate (but wrong) blog spam.
With ChatGTP you have to take the information on pure trust, and the information it gives is not at a level you can trust yet.
I don't know the actual statistics, but it seems like in my experience, at least 50% of the time, the linked sources are dead links, or don't have the information they're purported to have.
OpenAI, specifically, has also been working on allowing GPT models to browse the internet and include citations with e.g. https://openai.com/blog/webgpt/
>> The Fourier transform is a mathematical technique that decomposes a function or signal into its constituent frequencies. It allows us to represent a function in terms of the frequencies that make it up, rather than in terms of its time or spatial behavior.
The Fourier transform has many applications in a variety of fields, including signal and image processing, engineering, and physics. It is a fundamental tool in the analysis of periodic phenomena and is widely used in the study of waves and oscillations.
For more information about the Fourier transform, you may find the following resources helpful:
Wikipedia: https://en.wikipedia.org/wiki/Fourier_transform
Khan Academy: https://www.khanacademy.org/math/differential-equations/lapl...
Wolfram MathWorld: http://mathworld.wolfram.com/FourierTransform.html
Its amazing at some things, but there are foundational mistakes everywhere. Wikipedia has always had much higher quality overall.
1. it actually has policy against this to make understanding sources simpler to the layman for any topic.
I seem it lack the capability to say it’s level of confidence in the anwers. I gave me very good result when I give him lots of context. You can put pages of code about a project and then ask a question to complete. In this case it’s way more accurate (more context)
At the speed it’s progressing I am sure it will be very good in a year or two.
How did the training of ChatGPT make it do this?
And could a different training avoid this?