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AI Text Summarization: Extractive vs Abstractive Approaches
Extractive vs abstractive text summarization: why one guarantees factual accuracy at the cost of fluency, and the other reads better but risks hallucinating details.
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Why Do AI Models Hallucinate? A Practical Explanation
Why AI models hallucinate: it’s an inherent consequence of next-token prediction, not a simple bug, and why that means mitigations reduce but don’t eliminate it.
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Evaluating LLMs: Benchmarks, Hallucinations, and Real-World Testing
Why leaderboard benchmarks tell you little about your specific use case, why models hallucinate, and how to build your own evaluation set that actually matters.