Here are some of the challenges in prompt engineering:
- LLMs are complex and opaque. It is difficult to understand exactly how LLMs work and how they process prompts
- LMs can be biased. LLMs are trained on massive datasets of text and code. This data can reflect the biases of the people who created it. As a result, LLMs can generate biased or inaccurate text. It is important to be aware of these biases and to take steps to mitigate them.
- Prompt engineering can be time-consuming and computationally expensive
- Prompt engineering is a challenging task because it requires a deep understanding of both the task at hand and the capabilities of the LLM.
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