Gen AI Book Recommendations?
I’m interested in learning more about the algorithms used in generative AI. My goal would be to build a passable project to post on GitHub to show competency. I have some professional background in ML (more “old” ML like linear models and xgboost, but I have learned about neural nets on my own time). Wondering if anyone has book recommendations for learning about gen AI. Is there any gold standard book yet? If it has code, preferably python please. Alternatively, I’d also be interested in any course suggestions. Thanks!
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I have really liked this repo based tutorial. Covers all concepts and gives a set of very thorough Colab notebooks to practice and build upon further. https://github.com/IbrahimSobh/llms
Not a book but a great primer https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/#top I haven't gone through it myself completely since it's very long
On the topic, do you have book recs for the “old” ML and neural nets in python?
My intros to neural nets were Andrew Ng’s course on coursera, and also this book (linked below). The course itself is more broad than just neural nets if I remember correctly. I think it starts with linear regression and also includes gradient boosting? Maybe it was random forest. Not sure now, but a good resource. https://www.coursera.org/specializations/machine-learning-introduction The book is framework specific (tensorflow/Keras) https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1098125975/ref=asc_df_1098125975?nodl=1&tag=hyprod-20&linkCode=df0&hvadid=564681728094&hvpos=&hvnetw=g&hvrand=10640416016572875250&hvpone=&hvptwo=&hvqmt=&hvdev=m&hvdvcmdl=&hvlocint=&hvlocphy=9003187&hvtargid=pla-1651497364252&psc=1&mcid=7cee65ac686533b5bb242a026e5113bb&gclid=Cj0KCQjw8J6wBhDXARIsAPo7QA-OcxnMfbYYgGs4lRttDW-lyMn-0lBcj1JdPjW6mdIZf8dWmTzEAiwaAq80EALw_wcB&dplnkId=a43134c7-2c21-4f3e-a5fb-192e0014118b There is also Josh starmers YouTube page (StatQuest) and his book, which is a must have in my opinion. He’s mastered the art of teaching concepts in the clearest possible manner. The StatQuest Illustrated Guide To Machine Learning https://a.co/d/3LqTMsi I’d say start here if you have no experience, then move to Ng’s course if that interests you, and get the tensorflow book as a supplement to Ng.
Thanks! Yea I’m starting from scratch to see if it’s something I could even be good at. I tried Andrew Ng’s course a couple of years ago but never finished it. I liked the lectures and felt like I understood the theory, but got to the homework section and felt overwhelmed like there was a huge disconnect between the theory and practical application. Maybe a few more years of growth in the brain will make it more palatable this time around
Aren’t you supposed to ask these questions to chat gpt?
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