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Extracting Smart Video Clips with LLMs: Inside the Clips Extractor App

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Introduction In the age of information overload, finding the most relevant moments in lengthy videos can be a daunting task. Clips Extractor is an innovative application designed to solve this problem by leveraging state-of-the-art Large Language Models (LLMs) and AI-powered transcription. This blog post explores the app's goals, technical architecture, and how it uses LLMs to deliver precise, topic-based video clips. What is Clips Extractor? Clips Extractor enables users to extract meaningful clips from YouTube videos based on a topic of interest. Whether you're a researcher, content creator, or casual viewer, you can quickly surface the most relevant segments without manually scrubbing through hours of footage. Key Features Extract clips from YouTube video Search for segments based on user-provided topics Get precise timestamps and transcripts for each clip Combine selected clips into a single video Chrome Extension for direct YouTube integration ...

Abstractly on Flutter

Flutter framework is the only framework that has come closer to satisfying this adage: "Write once, Deploy anywhere" Flutter apps could be literally deployed on all the major platforms that any business wants to that includes Web, Mobile(iOS/AOS), Desktop (masOS, Windows, Linux), which covers all the major platforms and there's really no need of writing platform specific code as Flutter framework does it under the hood for you plus there are a variety of plugins written by a thriving community that makes it even easier to develop apps. basically, with Flutter you have everything you need to develop apps without worrying about maintaining multiple platform codebases which is the main reason[read: lower costs] why companies opt for cross-platform frameworks in the first place.  listing out the pros&cons on a very high level: Pros: good documentation apps are fast since for ex mobile apps are not reliant on the Javascript bridge for communicating with the native layer op...