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Sources of Error in Large Language Model Responses
Basics Theory

Sources of Error in Large Language Model Responses

Understand sources of error in LLM responses: training data gaps, hallucinations, prompt/context pitfalls, and retrieval/tool failures—plus safeguards.

Celia Kreitner

Predicting Viral Evolution With AI Depends on More Than Pattern Recognition
Basics Theory

Predicting Viral Evolution With AI Depends on More Than Pattern Recognition

AI for predicting viral evolution needs more than pattern recognition: it must account for biased data, missing context, biological fitness, and shifting selection pressures.

Mason Garvey