The prompt engineer. Do you need one? Can you train your people to generate prompts? Can this be automated? Well, it depends.

LLMs, like BARD, OpenAI GPT-3.5 and 4, Llama, or Flan, require a diligent and persistent approach to testing and refining prompts. Their variable performance for different use cases reveals the critical need for consistent testing and evaluation to achieve accurate results. Therefore, prompt engineering isn't a static task. It's an evolving practice that isn't an exact engineering principle. It's part science and part art, therefore it requires constant attention and refinement. Whether you're a seasoned professional in the field or just starting out, this article and corresponding podcast offer examples, and valuable insights into the challenges and solutions in prompt engineering.

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