When both of the directories are placed inside an enclosing directory called TestPlugin the result is a brand new plugin.
Summarize the following text in two sentences or less.Įach of these directories comprise a Semantic Kernel function. Similarly, we place the second plain prompt into a directory named SummarizeBlurb as a file named into a file named skprompt.txt. We set up the first plain prompt in Semantic Kernel within a directory named SloganMaker into a file named skprompt.txt: Write me a marketing slogan for my apparel shop in New The only problem is that they can do only one thing - as defined by the prompt - and with no flexibility. Two simple prompts that aren't asking the model for too much: 1/ we're asking the model to give us a marketing slogan, and separately 2/ we're asking the model to summarize a body of text down to two sentences.īoth of these simple prompts qualify as "functions" that can be packaged as part of an Semantic Kernel plugin. When a famous editor offered them a book deal, afterĪnd there we have it. Jan's lifelong dream of becoming a writer came true The result of this prompt from an actual LLM AI model is: A possible summary is: Jan finally got their breakthrough, when a famousĮditor discovered their manuscript and offered them a Theyįaced rejection after rejection, but they never gave up Submitting their work to magazines and publishers. Their passion, studying literature and journalism, and Jan had always wanted to be a writer, ever since they Let's try another example where we are eager to play with the summarizing capability of LLM AIs and want to show off its superpower when applied to text that we explicitly define: Summarize the following text in two sentences or less. The result of this prompt from an actual LLM AI model is: New York Style, Low-Cost Smile: York City with a focus on how affordable we are without We write the prompt: Write me a marketing slogan for my apparel shop in New Let's imagine we are entrepreneurs trying to make it in downtown Manhattan and we need to drive more leads to our store.
#MICROSOFT PLANNER TUTORIALS CODE#
Want to easily follow along as you write your first prompts? Download the Semantic Kernel VS Code Extension which allows you to easily create and run prompts from within VS Code.
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