Here are some of the challenges in prompt engineering: - Deepstash

Here are some of the challenges in prompt engineering:

  1. LLMs are complex and opaque. It is difficult to understand exactly how LLMs work and how they process prompts
  2. 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.
  3. Prompt engineering can be time-consuming and computationally expensive
  4. 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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prabhal.ak

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