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Source channel @githubtrending · Post #14993 · Jul 24

#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

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Libreware

@libreware · Post #1092 · 06/20/2022, 01:50 PM

Andriller https://github.com/den4uk/andriller Software utility with a collection of forensic tools for smartphones. It performs read-only, forensically sound, non-destructive acquisition from Android devices. It has features, such as powerful Lockscreen cracking for Pattern, PIN code, or Password; custom decoders for Apps data from Android (some Apple iOS & Windows) databases for decoding communications. Extraction and decoders produce reports in HTML and Excel formats. Features Automated data extraction and decoding Data extraction of non-rooted without devices by Android Backup (Android versions 4.x, varied/limited support) Data extraction with root permissions: root ADB daemon, CWM recovery mode, or SU binary (Superuser/SuperSU) Data parsing and decoding for Folder structure, Tarball files (from nanddroid backups), and Android Backup (backup.ab files) Selection of individual database decoders for Android apps Decryption of encrypted WhatsApp archived databases (.crypt to .crypt12, must have the right key file) Lockscreen cracking for Pattern, PIN, Password (not gatekeeper) Unpacking the Android backup files Screen capture of a device's display screen 📡@NoGoolag📡@Libreware #andriller#android#forensics#backup