Tag: temperature sampling

Feb, 11 2026

How Sampling Choices in LLMs Trigger Hallucinations and Affect Accuracy

Learn how sampling methods like temperature, top-k, and nucleus sampling directly impact LLM hallucinations. Discover the settings that reduce factual errors by up to 37% and how to apply them in real-world applications.

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Dec, 14 2025

Deterministic vs Stochastic Decoding in Large Language Models: When to Use Each

Learn when to use deterministic vs stochastic decoding in large language models for accurate answers or creative outputs. Discover which methods work best for code, chatbots, and content generation.

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