#jupyter_notebook
Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability.
https://github.com/langchain-ai/rag-from-scratch
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/