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Source channel @githubtrending · Post #14717 · May 18

#jupyter_notebook Learning about Large Language Models (LLMs) can be very beneficial. You can build exciting projects over eight weeks, starting with simple tasks and moving to more complex ones. This journey helps you develop deep expertise in AI and LLMs. You'll learn by doing hands-on projects, which is a fun and effective way to understand how these models work. By the end, you'll have skills that can be used in real-world applications, making it a valuable learning experience. https://github.com/ed-donner/llm_engineering

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Libreware

@libreware · Post #1232 · 02/22/2024, 11:58 AM

Quiet Encrypted p2p team chat with no servers, just Tor. https://tryquiet.org/index.html https://github.com/TryQuiet/quiet Currently in developpement stage so be cautious of your data Quiet is an alternative to team chat apps like Slack, Discord, and Element that does not require trusting a central server or running one's own. In Quiet, all data syncs directly between a team's devices over Tor with no server required. No email or phone number required, Unlike #Slack, #Discord, #WhatsApp, #Telegram, and #Signal, no email or phone number is required to create or join a #community. End-to-end encryption, All data is #encrypted end-to-end between member devices, using Tor. Channels, Organize chats in Slack-like channels, so conversations don't get messy. Images, Send and receive images, with copy/paste, drag & drop, and image previews. Files, Send and receive files of unlimited size! Notifications, Invite links, Keyboard controls, Desktop apps Android, Quiet works on Android, and F-Droid support is on the way. #E2E#Chat#Quiet#Tor