LLM iku kuat nanging duwe batasan sing signifikan — hallucination, knowledge cutoffs, kekurangan penalaran sejati, non-determinism, lan liya-liyane. Ngerti batasan-batasan iki lan carane ngabungake iku essential kanggo nggunakake LLM kanthi tanggung jawab lan efektif.
Batasan kunci
✗ 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
