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
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