#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
The App That Google Couldn’t Shut Down
https://www.youtube.com/watch?v=Vlc255SwBXw
ReVanced Manager is an application that uses ReVanced Patcher to patch Android apps.
💪 Features
💉Patch apps: Apply any patch of your choice to Android apps
📱Portable: ReVanced Patcher that fits in your pocket
🤗Simple UI: Quickly understand the ins and outs of ReVanced Manager
🛠️Customization: Configurable API, custom sources, language, signing keystore, theme and more
🔽 Download
You can download the most recent version of ReVanced Manager at revanced.app/download or from GitHub releases.
Learn how to use ReVanced Manager by following the documentation.
Another option:
https://rvxapp.com
#yt#YouTube#Vanced#revanced