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More of my philosophy about transformers and about the next GPT-4 and about ChatGPT and more of my thoughts..

Started byAmine Moulay Ramdane <aminer68@gmail.com>
First post2023-01-01 09:25 -0800
Last post2023-01-02 17:47 -0800
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  More of my philosophy about transformers and about the next GPT-4 and about ChatGPT and more of my thoughts.. Amine Moulay Ramdane <aminer68@gmail.com> - 2023-01-01 09:25 -0800
    Re: More of my philosophy about transformers and about the next GPT-4 and about ChatGPT and more of my thoughts.. Augǝl <angel00000100000@mail.ee> - 2023-01-02 17:47 -0800

#16208 — More of my philosophy about transformers and about the next GPT-4 and about ChatGPT and more of my thoughts..

FromAmine Moulay Ramdane <aminer68@gmail.com>
Date2023-01-01 09:25 -0800
SubjectMore of my philosophy about transformers and about the next GPT-4 and about ChatGPT and more of my thoughts..
Message-ID<f6fa5da2-e885-4f28-90bd-c71060a13d22n@googlegroups.com>
Hello,




More of my philosophy about transformers and about the next GPT-4 and about ChatGPT and more of my thoughts..

I am a white arab from Morocco, and i think i am smart since i have also
invented many scalable algorithms and algorithms..



The capabilities of transformer architectures, as in GPT of ChatGPT that is called Generative Pre-trained Transformer, are truly remarkable, as they allow machine learning models to surpass human reading comprehension and cognitive abilities in many ways. These models are trained on massive amounts of text data, including entire corpora such as the English Wikipedia or the entire internet, which enables them to become highly advanced language models (LMs) with a deep understanding of language and the ability to perform complex predictive analytics based on text analysis. The result is a model that is able to approximate human-level text cognition, or reading, to an exceptional degree - not just simple comprehension, but also the ability to make sophisticated connections and interpretations about the text, because  the network of Transformer pay “attention” to multiple sentences, enabling it to grasp "context" and "antecedents".  These transformer models represent a significant advancement in the field of natural language processing and have the potential to revolutionize how we interact with and understand language. 

GPT-4 is significantly larger and more powerful than GPT-3, with 170 trillion parameters compared to GPT-3’s 175 billion parameters(and even GPT-3.5 of the new ChatGPT has 175 billion parameters). This allows GPT-4 to process and generate text with greater accuracy and fluency, so with feedback from users and a more powerful GPT-4 model coming up and by being trained on a substantially larger amount of data , ChatGPT that will use GPT-4 may "significantly" improve in the future. So i think ChatGPT will still become much more powerful. And i invite you to read my previous thoughts about my experience with the new ChatGPT:


More of my philosophy about my experience with ChatGPT and about artificial intelligence and more of my thoughts..


I think i am highly smart since I have passed two certified IQ tests and i have scored "above" 115 IQ,  and i mean that it is "above" 115 IQ, 
so in those two last days i have just tested ChatGPT so that to see if 
this new artificial intelligence launched by OpenAI in November 2022 is efficient, and i think that it is really useful, since i think by testing it that it can score well on the human average smartness, but if you want it to be highly smart by inventing highly smart things , it will not be able to do it, but if you want ChatGPT to be highly smart on what it has learned from the existing smartness of the human knowledge that it has been trained on, i think it can also score high in many times of it, also ChatGPT can in many times make much less errors than humans, so i think that ChatGPT is really useful, and i think that 
ChatGPT will be improved much more by increasing the size of 
its transformer  (A transformer is a deep learning model that adopts the mechanism of self-attention) , and i also think that ChatGPT will be 
improved much more when it will be trained on a substantially larger amount of data, considering an article that DeepMind just published a few days ago demonstrating that the performance of these models can be drastically improved by scaling data more aggressively than parameters ( Read it here: https://arxiv.org/pdf/2203.15556.pdf ), and it is 
why i am optimistic about the performance of ChatGPT and i think that it will be much more improved. 


Thank you,
Amine Moulay Ramdane.





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#16226

FromAugǝl <angel00000100000@mail.ee>
Date2023-01-02 17:47 -0800
Message-ID<a6a5e9cf-d90a-4dd4-9a00-a2c38e1b8f26n@googlegroups.com>
In reply to#16208
Hello, idiOt...............................................




On Sunday, January 1, 2023 at 7:25:33 PM UTC+2, Amine Moulay Ramdane wrote:
> Hello, 
> 
> 
> 
> 
> More of my philosophy about transformers and about the next GPT-4 and about ChatGPT and more of my thoughts.. 
> 
> I am a white arab from Morocco, and i think i am smart since i have also 
> invented many scalable algorithms and algorithms.. 
> 
> 
> 
> The capabilities of transformer architectures, as in GPT of ChatGPT that is called Generative Pre-trained Transformer, are truly remarkable, as they allow machine learning models to surpass human reading comprehension and cognitive abilities in many ways. These models are trained on massive amounts of text data, including entire corpora such as the English Wikipedia or the entire internet, which enables them to become highly advanced language models (LMs) with a deep understanding of language and the ability to perform complex predictive analytics based on text analysis. The result is a model that is able to approximate human-level text cognition, or reading, to an exceptional degree - not just simple comprehension, but also the ability to make sophisticated connections and interpretations about the text, because the network of Transformer pay “attention” to multiple sentences, enabling it to grasp "context" and "antecedents". These transformer models represent a significant advancement in the field of natural language processing and have the potential to revolutionize how we interact with and understand language. 
> 
> GPT-4 is significantly larger and more powerful than GPT-3, with 170 trillion parameters compared to GPT-3’s 175 billion parameters(and even GPT-3.5 of the new ChatGPT has 175 billion parameters). This allows GPT-4 to process and generate text with greater accuracy and fluency, so with feedback from users and a more powerful GPT-4 model coming up and by being trained on a substantially larger amount of data , ChatGPT that will use GPT-4 may "significantly" improve in the future. So i think ChatGPT will still become much more powerful. And i invite you to read my previous thoughts about my experience with the new ChatGPT: 
> 
> 
> More of my philosophy about my experience with ChatGPT and about artificial intelligence and more of my thoughts.. 
> 
> 
> I think i am highly smart since I have passed two certified IQ tests and i have scored "above" 115 IQ, and i mean that it is "above" 115 IQ, 
> so in those two last days i have just tested ChatGPT so that to see if 
> this new artificial intelligence launched by OpenAI in November 2022 is efficient, and i think that it is really useful, since i think by testing it that it can score well on the human average smartness, but if you want it to be highly smart by inventing highly smart things , it will not be able to do it, but if you want ChatGPT to be highly smart on what it has learned from the existing smartness of the human knowledge that it has been trained on, i think it can also score high in many times of it, also ChatGPT can in many times make much less errors than humans, so i think that ChatGPT is really useful, and i think that 
> ChatGPT will be improved much more by increasing the size of 
> its transformer (A transformer is a deep learning model that adopts the mechanism of self-attention) , and i also think that ChatGPT will be 
> improved much more when it will be trained on a substantially larger amount of data, considering an article that DeepMind just published a few days ago demonstrating that the performance of these models can be drastically improved by scaling data more aggressively than parameters ( Read it here: https://arxiv.org/pdf/2203.15556.pdf ), and it is 
> why i am optimistic about the performance of ChatGPT and i think that it will be much more improved. 
> 
> 
> Thank you, 
> Amine Moulay Ramdane.

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