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Source channel @githubtrending · Post #14737 · May 22

#other This book provides a systematic introduction to large language models (LLMs), covering topics like traditional language models, LLM architectures, prompt engineering, efficient parameter tuning, model editing, and retrieval-enhanced generation. It aims to be easy to read and rigorous, with monthly updates and a list of relevant papers. The book helps readers understand LLMs' principles and applications, making it beneficial for those interested in AI and NLP. It offers a structured learning path, which is useful for both beginners and advanced learners. https://github.com/ZJU-LLMs/Foundations-of-LLMs

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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