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How a Baseten Engineer Traced 7 Years of Attention Mechanism Evolution -- From GPT-2 to Kimi K3, in Runable PyTorch

Last week, a Baseten inference engineer who goes by @waterloo_intern published a technical blog post titled "22,580: From GPT-2 to Kimi K3, Explained.…

aimachinelearningtransformersarchitecture
Dev.to Jul 31, 2026, 03:23 UTC
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How a Transformer Plays Tic-Tac-Toe

An interactive guide to the architecture behind modern language models. Instead of predicting the next word, this Transformer predicts the next move i…

tutorialaimachinelearningtransformers
Dev.to Jul 10, 2026, 12:32 UTC
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How Modern Transformer Blocks Work — From RMSNorm to MoE

The original Transformer idea is still alive. But modern LLM blocks are not just the 2017 Transformer copied and scaled. They are engineered for deepe…

aimachinelearningllmtransformers
Dev.to Jun 29, 2026, 10:42 UTC
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Why KV Cache Matters — How MQA, GQA, and MLA Make LLM Inference Faster

LLMs generate text one token at a time. That sounds simple. But without KV Cache, every new token would repeat a lot of old work. That is why inferenc…

aimachinelearningllmtransformers
Dev.to Jun 25, 2026, 14:15 UTC
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[Day 7] Does Giving an AI More 'Thinking Time' Really Make It Smarter? Training an OpenMythos-Style Mini Model on DGX

[Day 7] Does Giving an AI More "Thinking Time" Really Make It Smarter? Training an OpenMythos-Style Mini Model on DGX Intro Day 7! Reddit kept surfaci…

localllmaidgxsparktransformers
Dev.to May 19, 2026, 03:17 UTC

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