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Source channel @githubtrending · Post #14926 · Jul 8

#jupyter_notebook#artificial_intelligence#book#large_language_models#llm#llms#oreilly#oreilly_books You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs. https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

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Libreware

@libreware · Post #894 · 02/04/2021, 06:15 PM

PCAPdroid Capture traffic on Android devices and send the PCAP via UDP without root PCAPdroid lets you capture the Android traffic and analyze it remotely (e.g. via Wireshark). The traffic can be easily captured on a remote PC via an UDP socket. 💡 Features: ✅ Capture apps traffic without root privileges ✅ Send captured traffic via UDP ✅ Download the traffic PCAP via the integrated HTTP server ✅ Show captured traffic real time statistics ✅ Apply a filter to only capture traffic for the selected app ✅ Decrypt HTTPS/TLS traffic via a remote mitmproxy https://f-droid.org/packages/com.emanuelef.remote_capture/ #PCAPdroid#android#fdroid#app