{"id":564,"date":"2023-06-22T07:46:37","date_gmt":"2023-06-22T14:46:37","guid":{"rendered":"https:\/\/devblogs.microsoft.com\/semantic-kernel\/?p=564"},"modified":"2023-06-22T07:46:37","modified_gmt":"2023-06-22T14:46:37","slug":"semantic-kernel-at-microsoft-build-2023-highlights-from-the-qa-session","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/agent-framework\/semantic-kernel-at-microsoft-build-2023-highlights-from-the-qa-session\/","title":{"rendered":"Semantic Kernel at Microsoft BUILD 2023: Highlights from the Q&A Session"},"content":{"rendered":"

We’ve got some exciting news to share with you about our latest AI solutions that were unveiled at Microsoft BUILD<\/a> 2023. In addition to our main keynote session – Building AI solutions with Semantic Kernel<\/a>, we also held a Q&A session<\/a> where attendees had the opportunity to ask us all their top questions about how to use these new AI solutions in their businesses. Check out what we discussed and learn more about how you can get started with Semantic Kernel today.<\/p>\n

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During the Q&A session at BUILD, we received several stimulating questions from attendees. Here are some of the highlights:<\/p>\n

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Creating new documents based on historical examples<\/h3>\n

Question<\/strong>: “I have a use case to fill in sections of new drafts of documents based on historical documents for our business. Can I use AI for this?”<\/p>\n

Answer<\/strong>:\u00a0 This is a common use case that we hear from many customers.<\/p>\n

To get started with this you will need to:<\/p>\n

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    1. Select a vector memory storage solution \u2013 this allows the AI to find your documents and leverage those<\/li>\n
    2. If they are large documents, you will likely need to select a chunking strategy \u2013 this is how the documents will be broken apart before they are sent to the vector memory storage solution<\/li>\n
    3. Think about what UI you want to use for your end users<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

      Semantic Kernel supports several vector memory providers:<\/p>\n