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A prompt is the natural language text you pass to generative AI.
Prompt engineering is the art of fine-tuning these prompts to better communicate with generative AI.
When done right, it ensures that theAIproduces relevant, accurate, and useful outputs.
Why do we need prompt engineering?
This is what makes prompt engineering a critical skill for leveraging the GenAI models effectively.
Ramesh Parthasarathy, SVP of Engineering at Freshworks agrees.
Importance of prompt engineering
Leichenauer says prompt engineers specialize in maximizing the utility of a GenAI model.
Their role is to fine-tune AI inputs leading to accurate, relevant outcomes.
Without this expertise, businesses risk getting outputs that are too vague or misaligned with their goals.
This in turn improves efficiency, reduces errors, and aligns AI outputs with specific business needs.
Or you’re able to ask for expert-level technical details that are needed for implementation.
Each of these is an example of prompt engineering tailored to the reader, explains Leichenauer.
Similarly, marketing folks can build campaigns, and generate industry messages and perspectives.
What makes a good prompt engineer?
Morris says a good prompt engineer has a mix of both technical and creative skills to design effective prompts.
He says a prompt engineer should also understand the strengths and limits of different models.
On the technical side, balancing accuracy, latency, and cost is crucial, says Parthasarathy.
You want prompts that are efficient without overloading the system or blowing the budget.
