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Tag: large language models

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Jan, 7 2026

Structured vs Unstructured Pruning for Efficient Large Language Models

Emily Fies
5
Structured and unstructured pruning help shrink large language models for faster, cheaper deployment. Structured pruning works on any device; unstructured offers higher compression but needs special hardware. Here's how to choose the right one.
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Oct, 16 2025

Why Large Language Models Excel at Many Tasks: Transfer, Generalization, and Emergent Abilities

Emily Fies
8
Large language models excel because they learn from massive text data, then adapt to new tasks with minimal examples. Transfer learning, generalization, and emergent abilities make them powerful without needing custom training for every job.
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Sep, 22 2025

Why Transformers Replaced RNNs in Modern Language Models

Emily Fies
7
Transformers replaced RNNs because they process language faster and understand long-range connections better. With self-attention, they handle entire sentences at once-making modern AI possible.
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Sep, 15 2025

How Large Language Models Handle What They Don't Know: Communicating Uncertainty

Emily Fies
0
Large language models often answer confidently even when they're wrong. Learn how knowledge boundaries and uncertainty communication help them admit when they don't know, reducing hallucinations and building trust in real-world applications.
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Aug, 4 2025

How RAG Reduces Hallucinations in Large Language Models: Real-World Impact and Measurements

Emily Fies
8
RAG reduces hallucinations in large language models by grounding answers in trusted sources. Real-world tests show up to 100% reduction in errors for healthcare and legal applications - but only if the data is clean and well-structured.

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