Summary

In this chapter, you learned several techniques you can utilize to improve your prompts to obtain better results. You learned to use longer prompts that ensure that the LLM has the necessary context to provide the desired response. You also learned how to add multiple parameters to a prompt. Then, you learned how to chain prompts and how to implement the CoT method to help the LLM provide more accurate results. Finally, you learned how to ensemble several responses to increase accuracy. This accuracy, however, comes at a cost.

Now that we have mastered prompts, in the next chapter, we will explore how to customize plugins and their native and semantic functions.