How can we design prompts to consistently improve factual accuracy of LLM responses?

07 Kas 00:45

I've been experimenting with different phrasing techniques, but I still see occasional hallucinations. What strategies are most effective for structuring prompts that guide a language model toward reliable, fact‑based answers? Should we prioritize explicit instructions, context framing, or iterative refinement? I'm curious about any general guidelines or patterns you've found that consistently reduce misinformation. How do you balance creativity and accuracy in prompt design?