LLMs sind leistungsstark, haben aber erhebliche Grenzen — Halluzination, Knowledge Cutoffs, mangelndes echtes Reasoning, Non-Determinismus und mehr. Das Verständnis dieser Grenzen und wie man sie abmildert, ist essentiell für die verantwortungsvolle und effektive Nutzung von LLMs.
Wichtige Grenzen
✗ HALLUCINATION → generate plausible-sounding but FALSE information (confidently wrong) →
the most critical limitation (they predict likely text, not verified truth)
✗ KNOWLEDGE CUTOFF → only know up to their training date → no current info
✗ NO TRUE UNDERSTANDING/REASONING → pattern-match text; can fail at logic, math, novel
reasoning; no real comprehension
✗ NON-DETERMINISTIC → same prompt → different outputs (variability)
✗ NO REAL-TIME/external knowledge by default; limited CONTEXT window (can't hold unlimited info)
✗ Can be BIASED; can be manipulated (prompt injection); inconsistent
