LLMs (Large Language Models) are often poor with numbers because they are primarily trained on text data, which lacks the structured understanding of mathematical operations and symbols needed to accurately solve math problems; they struggle to interpret the meaning behind mathematical notation and often rely on statistical patterns in text that may not translate to correct calculations, leading to inaccurate answers even for simple arithmetic tasks.
Fact-checking AI
Now that you know some common errors that AI text generators make, how do we go about fact-checking AI outputs? Go to the next page in this guide to learn about fact-checking using lateral reading.
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