Tag: large language models

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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Reasoning in Large Language Models: Chain-of-Thought, Self-Consistency, and Debate Explained
Reasoning in Large Language Models: Chain-of-Thought, Self-Consistency, and Debate Explained

Tamara Weed, Aug, 9 2025

Chain-of-Thought, Self-Consistency, and Debate are transforming how large language models solve complex problems. Learn how these methods work, when to use them, and why they’re becoming essential in AI systems by 2025.

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