AI doesn’t “know” things.
📰 Medium · LLM
Discover how LLMs work using probability and hallucination, and what it means for your understanding of AI capabilities
Action Steps
- Read about the differences between human knowledge and LLM probability-based outputs
- Understand how LLMs use hallucination to generate text
- Analyze the implications of LLM limitations on AI system design
- Apply this knowledge to improve AI model interpretation and evaluation
- Test LLMs with various inputs to observe their probability-based outputs
Who Needs to Know This
Data scientists, AI engineers, and product managers can benefit from understanding the limitations of LLMs to design more effective AI systems
Key Insight
💡 LLMs generate text based on probability, not knowledge, which has significant implications for AI system design and interpretation
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🤖 LLMs don't 'know' things, they predict probabilities! 📊
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