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2026.09.10
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SECTION 07 · 4 NOTES · UPDATED 2026.08.29
AI ENGINEERING
NOTES
4
01
02 MIN · 2025.12.01
LLMs
Working notes on how large language models operate, how reasoning emerges from next-token prediction, and how modern reasoning models differ from older ones like Codex.
02
02 MIN · 2025.12.01
Vector Databases
A quick tour of the popular vector databases, what each one is best for, and a comparison of their strengths and weaknesses.
03
05 MIN · 2025.12.01
Vector Quantization
Vector compression (primarily known as Vector Quantization) is the process of reducing the memory footprint of vector embeddings while retaining enough information to find "nearest neighbors" accurately.
04
03 MIN · 2025.12.01
Vectors
A vector is an ordered list of numbers that represents data in numeric form. These notes cover vector types, operations, similarity measures, embeddings, and how vectors power modern AI systems.