Posts tagged Transformer

2 posts

AIFeb 26, 2026

LLM Architecture Explained Simply: 10 Questions From Prompt to Token

A beginner-friendly walkthrough of how an LLM actually works end-to-end: from typing a prompt to receiving a response — covering tokenization, embeddings, Transformer layers, KV cache, the training loop, embeddings for search, and why decoder-only models won.

17 min read

#AI#LLM

AIFeb 23, 2026

Transformer Anatomy: Attention + FFN Demystified

A deep dive into the Transformer architecture — how attention connects tokens and why the Feed-Forward Network is the real brain of the model. Plus the key to understanding Mixture of Experts (MoE).

15 min read

#AI#Transformer

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