What can LLMs never do?

1. 1Research current LLM capabilities to identify potential limitations
2. 2Analyze edge cases where LLMs may fail or produce suboptimal results
3. 3Evaluate the impact of LLM limitations on specific AI applications or use cases
4. 4Discuss potential workarounds or mitigation strategies with team members
5. 5Explore alternative AI approaches or models that may address LLM limitations

AI engineers, data scientists, and product managers can benefit from understanding LLM limitations to set realistic expectations and design more effective AI systems

💡 LLMs have limitations that can impact their performance in certain tasks or applications, and understanding these limitations is crucial for designing effective AI systems

🤖 What are the limitations of Large Language Models (LLMs)? 🤔