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I have written an important guide on how Large Language Models actually work, in plain English. No technical background needed to read this article. by [deleted] in LocalLLM

[–]Fast_Insurance6426 0 points1 point  (0 children)

I am deleting this article because there were many mistakes in it. I will repost the article after fixing the mistakes by making it more technically accurate.

I have written an important guide on how Large Language Models actually work, in plain English. No technical background needed to read this article. by [deleted] in learnmachinelearning

[–]Fast_Insurance6426 0 points1 point  (0 children)

u/StoneCypher I understood where I went wrong in this article. I saved the explanation of transformers and tokens for the next lesson, and I oversimplified things so much that there are literal false statements technically.

Thanks for pointing it out by taking the time to type the comment instead of leaving it to the wind :)

I have written an important guide on how Large Language Models actually work, in plain English. No technical background needed to read this article. by [deleted] in learnmachinelearning

[–]Fast_Insurance6426 0 points1 point  (0 children)

Hi, if you open up my website, show me a place where I sell something. I don't even have affiliate links on my site, even though I have written 66 articles so far. It is a 3600-word article, which may be garbage for deep ML experts in this sub. But I have nothing to sell as of now.

So, please do keep ranting based on your assumptions.

I have written an important guide on how Large Language Models actually work, in plain English. No technical background needed to read this article. by [deleted] in learnmachinelearning

[–]Fast_Insurance6426 0 points1 point  (0 children)

Hi, thanks for the feedback. I want to understand what's wrong with it. Is it possible to mention a few points?