If you've been paying attention to what's going on in AI, you've probably heard the term "Prompt Engineer" but what does that really mean? As someone that has an actual engineering degree (B.S. in Electrical Engineering) I was curious about how casually the term Prompt Engineer was being thrown around, considering how much work it took me to obtain my engineering degree. Prompt engineering is the art of crafting precise and strategic instructions, or prompts, to guide AI models in generating desired outputs. It is akin to providing a blueprint for AI systems, allowing us to shape their behavior and optimize their performance. By skillfully constructing prompts, we can steer AI models towards generating more accurate, contextually relevant, and coherent responses. Prompt engineering recognizes the immense power of language and its impact on AI models. Just like humans, these models rely on linguistic cues to comprehend and respond. As a prompt engineer, I immerse
Artificial Intelligence (AI) has made significant strides since its inception, with advancements in large language models revolutionizing its accessibility, but AI has a long history. I can still remember the Jeopardy episodes between Watson and Ken Jennings and Brad Rutter ( video summary ). I worked at IBM at the time and after the tournament, I started seeing some new things coming out in AI. My first direct interaction came when I was asked to participate in an experiment in sentiment analysis. I provided access to my Twitter feed and was provided a report on the sentiment of my feed that was really pretty accurate. The first real AI project I did was a bit of an experiment. I was very involved with the Project Management Institute (PMI) at the time and came up with an idea. I connected with a couple of people in the Watson group to try it out. The hypothesis I came up with was "Watson can be used to identify project risks in a statement of work." This was before the da