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  1. 01.
    How LLMs Work, Part 4: Using the Trained Model
    shbhmrzd.github.io · /feed.xml
    ▲ 14 · Jul 11 · 1 comment on HN
  2. 02.
    How LLMs Work, Part 3: From Toy Model to GPT
    shbhmrzd.github.io · /feed.xml
    ▲ 0 · Jun 3
  3. 03.
    How LLMs Work, Part 2: How LLMs Learn
    shbhmrzd.github.io · /feed.xml
    ▲ 0 · May 29
  4. 04.
    How LLMs Work, Part 1: How LLMs Process Text
    shbhmrzd.github.io · /feed.xml
    ▲ 0 · May 27
  5. 05.
    Java Virtual Threads: The Pinning Problem, the Deadlock, and the Fix in Java 24
    shbhmrzd.github.io · /feed.xml
    ▲ 0 · Apr 25
  6. 06.
    TurboQuant and Vector Quantization: From Shannon to KV Cache Compression
    shbhmrzd.github.io · /feed.xml
    ▲ 0 · Apr 4
  7. 07.
    Garbage Collection: From First Principles to Modern Collectors in Java, Go and Python
    shbhmrzd.github.io · /feed.xml
    ▲ 0 · Apr 1
  8. 08.
    Running: A Metaphor for Life
    shbhmrzd.github.io · /feed.xml
    ▲ 0 · Mar 15
  9. 09.
    Setting Up Claude Code as a Context-Aware Development Collaborator
    shbhmrzd.github.io · /feed.xml
    ▲ 0 · Mar 7
  10. 10.
    Evaluating Claude’s C Compiler Against GCC
    shbhmrzd.github.io · /feed.xml
    ▲ 0 · Feb 12