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๐ Enhancing YouTube Content Creation with AI Agent: Transcribing Audio to Text Using AssemblyAI and Semantic Kernel In the latest installment of our AI-powered YouTube automation series, we explore how to integrate AssemblyAI with Microsoft's Semantic Kernel to streamline content creation. This approach enables creators to transcribe audio files into text effortlessly and utilize AI agents to generate engaging YouTube titles and descriptions. https://youtu.be/eT3gztca6Z8?feature=shared
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๐ค AI-Powered YouTube Automation: PART 3 is LIVE! ๐ง Building the Foundation for Your AI Agent ๐ฏ WATCH THIS if you're ready to let AI write your YouTube titles & descriptions FOR YOU! In this episode, we go DEEP into the code and set up the core s
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- Text to mindmaps => My map Ai - Text to infographics => Infography .in - Text to Presentation => Decktopus - Text to YouTube video => Syllaby - Text to image => Reve AI - Text to Ads => Creatify Ai - Text to ideas => Virality AI - Text to Music =>
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๐ Excited to share my latest YouTube video! demonstrate how to integrate Microsoft's Semantic Kernel with Qdrant, the open-source vector database, to build an intelligent question-answering system for Wikipedia pages๎ ๎cite๎turn0search3๎ In this tu
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Vector databases for AI memory just got disruptedโฆ by MP4 files?! Video as Database: Store millions of text chunks in a single MP4 file Store millions of text chunks with blazing-fast semantic search โ no database required. 100% open source. Zero
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๐ฅ AI agent YouTube Automation Series: VIDEO to AUDIO in C#! (Part 1) In **Part 1**, weโre laying the foundation for an *AI agent* that automatically generates **titles and descriptions** for your videos โ starting with the *crucial first step*: **c
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