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Cognizant Benelux Blog


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Generative artificial intelligence (AI) refers to AI systems capable of generating original and contextually relevant content. Large language models, such as GPT, Palm and Claude were trained on vast amounts of data to understand and generate human-like text. AI prompt writing (or engineering) is the process of creating input (usually text) instructing the generative AI to generate a desired response. Simply put: prompting is the way we ask AI to do something.

Contrary to concerns about job displacement, generative AI and large language models will augment existing job roles rather than replace them entirely. These technologies have the potential to make jobs more efficient by automating repetitive tasks, freeing up time for employees to focus on higher-value activities that require creativity, critical thinking, and empathy (see also: The Next Digital Revolution: AI-Mediated Interactions).

These models can be employed in a number of contexts, for example, to create dynamic and interactive conversational experiences, enabling enterprises to engage with customers (see also: What ChatGPT Means for the Future of Your Company’s Chatbot) in a more personalized manner. With generative AI, customer service representatives can utilize prompts to quickly access relevant information, offer personalized solutions, and engage in meaningful interactions with customers, thereby enhancing the overall customer experience. However, to fully harness the potential of these models, crafting the right prompt is crucial.

Tips for Crafting Effective Prompts
Be Clear and Concise

A well-crafted prompt should clearly communicate the desired outcome while being concise. Avoid ambiguity to ensure the model understands the intended task and can provide accurate and relevant responses.

Set Context

Providing the necessary context helps guide the model's response. Clearly state your query or the situation at hand, ensuring the prompt conveys the required information for generating an appropriate response.

Specify Tone and Style

You need to specify the tone and style you want the response to reflect depending on your brand and the desired customer experience. This allows the model to adapt its vocabulary and tone accordingly, ensuring consistency with your own personal or corporate brand's voice.

Incorporate Examples

Including examples within the prompt will help the model understand the desired response format. By providing sample answers or specific details, you can guide the model towards generating responses that align with your expectations.

Iterate and Experiment

Crafting the perfect prompt may require some trial and error. Experiment with different variations of prompts to fine-tune the model's responses. Continuously iterate based on the feedback and insights gained from the interactions.

Tree of Thoughts

For some complex tasks, a simple prompting technique will not be enough. Try to decompose it into intermediary steps necessary to complete the final goal. Use them to build a tree of input/outputs, or thoughts, required to generate the necessary knowledge for the subsequent steps. 

Generative AI and Job Efficiency

The art of the prompt plays a crucial role in leveraging generative AI and large language models in enterprise contexts. By carefully crafting prompts, enterprises can harness the power of these AI systems to provide personalized, efficient, and consistent interactions with their customers. Furthermore, generative AI and large language models should be seen as tools that enable existing job roles to become more efficient, rather than replacing them entirely. Through continuous refinement and experimentation, businesses can unlock the full potential of generative AI to deliver exceptional customer experiences in the digital age, while increasing productivity and empowering their workforce to thrive in an AI-powered environment.

Gregory Verlinden

Associate VP Analytics & AI Benelux

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