The explosion of data is a defining characteristic of the times we are living in. Billions of terabytes of data are generated every day, and million more algorithms scour this data for patterns for our consumption. And yet, the more data we have, the harder it becomes to process this data for meaningful information and insights.
With the rise of generative AI technologies, such as ChatGPT, knowledge workers are presented with new opportunities in how they process and extract insights from vast amounts of information. These models can generate human-like text, answer questions, provide explanations, and even engage in creative tasks like writing stories or composing music. This breakthrough in AI technology has opened up possibilities for knowledge workers.
Built with powerful LLMs, Generative AI has taken the world by a storm and led to a flurry of companies keen to build with this technology. It has indeed revolutionized the way we interact with information.
And yet, in this era of ever-increasing information overload, the ability to ask the right question has become more critical than ever before.
While the technology has evolved faster than we imagined, its potential is limited by the ways we use it. And while there is scope for immense benefits, there is also a risk for harm if users don’t practice judgment or right guardrails are not provided when building Gen AI applications.
As knowledge workers and technology creators, empowering ourselves and our users relies heavily on the ability to ask the right questions.
Here are three key considerations to keep in mind:
1. The Art of Framing Questions: