Tag: transformer models

Encoder-Decoder vs Decoder-Only Transformers: Which Architecture Powers Today’s Large Language Models?
Encoder-Decoder vs Decoder-Only Transformers: Which Architecture Powers Today’s Large Language Models?

Tamara Weed, Jan, 25 2026

Decoder-only transformers dominate modern LLMs for speed and scalability, but encoder-decoder models still lead in precision tasks like translation and summarization. Learn which architecture fits your use case in 2026.

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encoder-decoder transformer decoder-only transformer large language models LLM architecture transformer models
Understanding Attention Head Specialization in Large Language Models
Understanding Attention Head Specialization in Large Language Models

Tamara Weed, Dec, 16 2025

Attention head specialization lets large language models process grammar, context, and meaning simultaneously through dozens of specialized internal processors. Learn how they work, why they matter, and what’s next.

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Science & Research

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attention head specialization transformer models multi-head attention LLM architecture attention head probing
How Large Language Models Learn: Self-Supervised Training at Internet Scale
How Large Language Models Learn: Self-Supervised Training at Internet Scale

Tamara Weed, Sep, 30 2025

Large language models learn by predicting the next word across trillions of internet text samples using self-supervised training. This method, used by GPT-4, Llama 3, and Claude 3, enables unprecedented language understanding without human labeling - but comes with major costs and ethical challenges.

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Science & Research

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large language models self-supervised learning LLM training transformer models internet-scale data

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