LLMs Exhibiting Inconsistent Behavior
Analysis
The article expresses a user's observation of inconsistent behavior in Large Language Models (LLMs). The user perceives the models as exhibiting unpredictable performance, sometimes being useful and other times producing undesirable results. This suggests a concern about the reliability and stability of LLMs.
Key Takeaways
- •User observes inconsistent performance in LLMs.
- •The user finds the models' behavior unpredictable.
- •Concerns about the reliability of LLMs are raised.
Reference
““these things seem bi-polar to me... one day they are useful... the next time they seem the complete opposite... what say you?””