#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag
Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data.
https://github.com/FareedKhan-dev/all-rag-techniques
This is Probably the Best Video Downloader App (And it is Free and Open Source) | itsFOSS
VidBee allows you to download videos from YouTube, Facebook, X, Instagram, etc. In fact, it supports over 1,800 websites.
It is built on top of popular command line tools like yt-dlp and #ffmpeg. For the interface, it uses the Electron framework. I understand that some people dislike Electron framework as it runs a web browser underneath, but the 'advantage' of this framework is that you get the same interface in all the operating systems. At least, it's an advantage for the developers as they don't have to build the interface separately for #Linux, #Windows and #macOS.
The source code for VidBee is available on its GitHub repository.
#VidBee - Free Open Source Video Downloader
https://vidbee.org/