Thank you very much for these explanations Alejandro. For those without a background in computer science, not only can these things finally find an easy explanation, but they are also fascinating to read! I look forward to reading the next parts of this introduction to AI.
I would like to know in some detail (as far as necessary, of course), all those key concepts such as 'parameters' and so on by which LLMs are judged and compared. It would also be very helpful to better understand the analysis issues that great authors often write here on Substack.
Thank you very much for these explanations Alejandro. For those without a background in computer science, not only can these things finally find an easy explanation, but they are also fascinating to read! I look forward to reading the next parts of this introduction to AI.
Thank you, Riccardo. I hope you'll find the future posts also interesting. Any concrete topics you'd like to read about?
I would like to know in some detail (as far as necessary, of course), all those key concepts such as 'parameters' and so on by which LLMs are judged and compared. It would also be very helpful to better understand the analysis issues that great authors often write here on Substack.
Oh, got it. Perfect, I'm taking notes.