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# Hands-On AI: Building and Deploying LLM-Powered Apps
This is the repository for the LinkedIn Learning course `Hands-On AI: Building and Deploying LLM-Powered Apps`. The full course is available from [LinkedIn Learning][lil-course-url].
_See the readme file in the main branch for updated instructions and information._
## Lab6: Prompt Engineering
With the prompt templates extracted from the code, we can iterate on the prompts to fix the problem that we have observed!
Please iterate on the prompts and ensure the model can respond properly to our sample question.
## Exercises
Please find a prompt in our Chainlit application's playground that ensures our sample question is answered properly. And then edit `prompt.py` with the newly discovered/engineered prompt.
## References
- [Prompt Engineering vs Blind Prompting](https://mitchellh.com/writing/prompt-engineering-vs-blind-prompting)
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