3 ms·

It's up to a 4th edition now (I had the 2nd when I was in school). Here are the full contents for the current edition: http://aima.cs.berkeley.edu/contents.htm

It's up to a 4th edition now (I had the 2nd when I was in school). Here are the full contents for the current edition: http://aima.cs.berkeley.edu/contents.html http://aima.cs.berkeley.edu/contents.html Chapters 19 on are going to be the biggest additions from the earlier editions.

phtrivier 4y ago
The 4rth edition is from 2019. My understanding is that the world of AI has changed about a quadrillion times since those days, right ;) ? (Interesting that AI is finally catching up with javascript frameworks.) My personnal goal is to find some time to dig into https://course.fast.ai/ https://course.fast.ai/ , assuming it's not terribly outdated, either.
- Jtsummers 4y ago
  > The 4rth edition is from 2019. My understanding is that the world of AI has changed about a quadrillion times since those days, right ;) ? The world isn't moving that fast. Transformers and LLMs are built on neural networks and lots of data and fast computers. You could jump straight to that point, but even the course you've pointed to starts off with more foundational ANN topics before getting to transformers. Much of which is at least in the TOC for the current edition of AIMA. Ought to be complementary texts. Also, only fools ignore history, "classical" AI and topics also covered in the book are still applicable. ANNs aren't going to solve all the world's problems. Other techniques that fall under the category of "AI" are still applicable and very effective for a large number of real-world problems (and much more efficient than LLMs).