Tag: transformers

All the articles with the tag "transformers".

• 
  ai

  21 Apr, 2026 · 8 min read

  Context Windows: Why Your AI Has a Working Memory Limit

  Context windows are not memory. They are working memory. Here is what the model can see right now, why extending that limit is hard, and what it costs to try.

• 
  ai

  20 Apr, 2026 · 9 min read

  Positional Encoding and Sampling: How the Transformer Finds Position and Picks Its Next Word

  Attention cannot tell 'the dog bit the man' from 'the man bit the dog.' Positional encoding fixes that. Then sampling decides what word the model actually says.

• 
  ai

  20 Apr, 2026 · 7 min read

  Tokens and Embeddings: How Raw Text Becomes Numbers the Model Can Use

  Before the transformer can do anything, it must turn your prompt into numbers. Here is exactly how that works, from raw characters to dense vectors.

• 
  ai

  20 Apr, 2026 · 6 min read

  The Transformer: How Attention Solved the Problem Everything Else Could Not

  In 2017, eight researchers replaced the entire approach to language modeling with a single idea: let every word attend to every other word directly.

• 
  ai

  19 Apr, 2026 · 7 min read

  Before the Transformer: A Short History of Machines That Read

  Why did the transformer matter so much that we measure AI in 'before' and 'after' it? A short history of every approach that tried and hit a wall first.

• 
  neural-networks

  Updated: 28 Feb, 2026 · 11 min read

  Neural Networks: How AI Mimics the Brain

  How artificial neurons combine into networks that recognize images, understand language, and generate text. From perceptrons to transformers.