Build a Large Language Model (From Scratch)

~by Sebastian Raschka, PhD

Currently reading 

1.  Very intuitive

2. Explained with code

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Introduction to Machine Learning Systems

~by Prof. Vijay Janapa Reddi (Harvard)
Currently reading

Key Points

• Not a usual ML System textbook.

• Deep dives at the hardware level to explain ML systems engineering.

• Teaches why models fail at different levels of the stack
  (Hardware → Runtime → Framework → Application)

• Provides the foundation for Volume 2 of the book, which teaches scaling to multi-GPU training.

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Neural Networks From Scratch 

~by Harrison Kinsley & Daniel Kukieła

Key Points

• Scratch Implementation of Deep Learning Concepts.

• Easy to follow and understand.

• Mathematics well explained.

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Atomic Habits

Some ideas from the book.

1. 1% Rule: Improving by 1% daily can lead to being 37 times better in a year.

2. The Plateau Effect: Small habits compound over time, even if initial results seem invisible

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Zero to One  

(by PayPal founder, an early investor in SpaceX, FaceBook)

Highlights

1. All startup advices are still relevant after a decade.

2. 0 to 1 means innovations (the hard part) discussed in detail, while 1 to n is globalization (the easy part).

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Excellent Advice for Living 

~presented as a list of 406 pieces of advices rather than in paragraphs.

Here are a few of my favorites: 

•  Never hesitate to invest in yourself—to pay for a class, a course, a new skill. These modest expenditures pay outsized dividends. 

• When you find yourself procrastinating, don’t resist. Instead lean into it. Procrastinate 100%. Try to do absolutely nothing for 5 minutes. Make it your job. You’ll fail. After 5 minutes, you’ll be ready and eager to work.

• Think in terms of decades, and act in terms of days.

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