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tldw discussion
tldw reviews and mentions
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TL;DW: Too Long; Didn't Watch Distill YouTube Videos to the Relevant Information
You could try my app https://github.com/rmusser01/tldw
Supports arbitrary length videos and also lets you choose what LLM API to use.
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DeepRAG: Thinking to Retrieval Step by Step for Large Language Models
Not the person you asked, but it's dependent on what you're trying to chunk. I've written a standalone chunking library for an app I'm building: https://github.com/rmusser01/tldw/blob/main/App_Function_Lib...
It's setup so that you can perform whatever type of chunking you might prefer.
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Meta is killing off its own AI-powered Instagram and Facebook profiles
As someone who's built something like it in their free time as a hobby project ( https://github.com/rmusser01/tldw), could I ask what would make it a professional product vs something an intern came up with? Looking for insights I could possibly apply/learn from to implement in my own project.
One of my goals with my project I ended up taking on was to match/exceed NotebookLMs feature set, to ensure that an open source version would be available to people for free, with ownership of their data.
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Xapian Is an Open Source Search Engine Library
Hey I’m working on exactly this: https://github.com/rmusser01/tldw
It’s still a work in progress but my goal is to make an open source solution for exactly what you describe to help people. (Starting with myself :p)
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Stats
rmusser01/tldw is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of tldw is Python.