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What are best practices for LLM Hallucinations & Limitations

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When working with LLM Hallucinations & Limitations, start with a clear goal, test on real data early, keep the approach as simple as possible at first, and follow established practices from the AI community rather than guessing.

Real-world example An LLM might confidently state an incorrect date for a historical event, which is an example of a hallucination.

Common follow-ups: What is Large Language Models (LLMs), How is LLM Hallucinations & Limitations evaluated in practice, What tools are commonly used for LLM Hallucinations & Limitations

Large Language Models (LLMs) topics: What Are Large Language Models LLM Architecture Overview Tokenization in LLMs