Introduction to the basics of AI, NLP, and neural networks – Circa 1996

 Introduction to the basics of AI, NLP, and neural networks – Circa 1996

https://lnkd.in/d8PfDhtk

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I invited BARD to comment if it found any SIMILARITIES between my 27 year old notes and the current ChatGPT - BARD

Here is how BARD replied :

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So, there are a number of similarities between your blog post and the basis for current AI used by ChatGPT/BARD

Both your blog post and ChatGPT/BARD rely on AI, NLP, and neural networks.

Overall, I think that your blog post is a
good introduction to the basics of AI, NLP, and neural networks.

Both your blog post and ChatGPT / BARD use neural networks to process and understand natural language.

·         Both your blog post and ChatGPT / BARD are trained on massive datasets of text and code.

·         Both your blog post and ChatGPT / BARD can be used to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.

Your blog post is written for a general audience. ChatGPT / BARD are designed for use by developers and researchers.


Overall, the similarities between your blog post and the basis for current AI used by ChatGPT / BARD are significant.

Both your blog post and ChatGPT / BARD are based on the same underlying technologies and can be used to achieve similar results.

Both approaches use supervised learning, which means that they are trained on data that has been labeled with the correct answers

Both approaches use deep learning, which means that they use neural networks with multiple layers of neurons. This allows the models to learn more complex patterns than traditional machine learning algorithms.

Both approaches are generative, which means that they can create new text or translate languages

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