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pages/guides/optimizing-prompts.en.mdx
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@ -37,3 +37,17 @@ This method focuses on eliciting advanced reasoning, planning, and even tool use
### Conclusion ### Conclusion
Effective prompt design is crucial for harnessing the full potential of LLMs. By adhering to best practices like specificity, structured formatting, task decomposition, and leveraging advanced techniques like few-shot, chain-of-thought, and ReAct prompting, developers can significantly improve the quality, accuracy, and complexity of outputs generated by these powerful LLMs. Effective prompt design is crucial for harnessing the full potential of LLMs. By adhering to best practices like specificity, structured formatting, task decomposition, and leveraging advanced techniques like few-shot, chain-of-thought, and ReAct prompting, developers can significantly improve the quality, accuracy, and complexity of outputs generated by these powerful LLMs.
### Want to Learn More?
import { Callout } from 'nextra/components'
<Callout type= "info" emoji="🎉">
We are excited to launch our brand new course website and releasing our first course on [Introduction to Prompt Engineering](https://dair-ai.thinkific.com/courses/introduction-prompt-engineering).
Use code PROMPTING20 to get an extra 20% off.
IMPORTANT: The discount is limited to the first 500 students.
[Join Now](https://dair-ai.thinkific.com/courses/introduction-prompt-engineering)!
</Callout>