Limitations & Safety
Understand the limitations, biases, and safety considerations of LLMs.
Key Considerations
⚠️ Hallucinations
[Placeholder: LLMs can generate false information confidently]
⚠️ Biases
[Placeholder: Training data biases reflected in outputs]
⚠️ Privacy
[Placeholder: Don't share sensitive information]
⚠️ Knowledge Cutoff
[Placeholder: Models have training data cutoff dates]
Learn More
[Placeholder: AI Safety research]
Understanding AI alignment and safety
[Placeholder: Bias in AI systems]
How biases emerge and mitigation strategies
[Placeholder: Responsible AI usage]
Best practices for using LLMs ethically
Self-Hosting Advantage
Running LLMs locally gives you more control over privacy and data security.