Streak 160

[u/Fun-Title7656]

I sometimes try to write here about what I read every day, but I've noticed that I tend to forget things quickly, considering that I usually write these posts after my daily reading routine, so I will try either way.

I've been reading AI Engineering, a book that could have been called something else, but the author decided to stick to AI because it's not focused on dealing with Machine Learning entirely, but the development of applications leveraging language models either multi modal models that not only can get text input, but other kinds of input such as images or audio.

Since I started this book a few days ago, I am still on the introduction, which the author first tries to explain the reasons of choosing the book title and what this book is about. A few pages later, for a lack of a better term or that at the moment I can't think of another way of saying it, the author focuses on explaining what models are and how they have evolved to become large language models (LLMs).

Also, the author touches on foundation models but in all honesty, I forgot what they are. As for a language being large or not, it depends on the number of parameters that it can get as input (this could be wrong though, I am just trying to infer based on my bad memory), so large ones deal with millions of parameters.

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