Tag: llm
All the articles with the tag "llm".
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llm-concepts8 min readPersonal AI Infrastructure: The Climb From Chatbot to Assistant
Most AI tools today are chatbots in a costume. The real ladder has three tiers, and 2026 finally made the top one buildable at home.
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ai8 min readContext 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.
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ai9 min readPositional 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.
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ai7 min readTokens 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.
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ai6 min readThe 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.
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ai7 min readBefore 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.
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ai9 min readWelcome to LLM Concepts: How the Machine Behind Your Chatbot Actually Works
A 27-article series on how 2026 LLMs actually work, written for curious readers who use ChatGPT, Claude, or Gemini and want to know what is happening inside.
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ai10 min readLLMs - How ChatGPT Actually Works
How large language models actually work, from tokenization and embeddings to attention mechanisms and next-token prediction.