Tag: large language models

Oct, 16 2025

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

Emily Fies

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.

Sep, 22 2025

Why Transformers Replaced RNNs in Modern Language Models

Emily Fies

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.

Sep, 15 2025

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

Emily Fies

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.

Aug, 4 2025

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

Emily Fies

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.

Tag: large language models

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

Why Transformers Replaced RNNs in Modern Language Models

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

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

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