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Source channel @githubtrending · Post #14909 · Jul 3
#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm
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@libreware · Post #980 · 09/24/2021, 03:11 PM
Briar 1.3.8 release today https://briarproject.org/news/2021-briar-1.3-released/ Official Briar fdroid repository: https://briarproject.org/fdroid/repo/?fingerprint=1FB874BEE7276D28ECB2C9B06E8A122EC4BCB4008161436CE474C257CBF49BD6 #briar#im#p2p
@libreware · Post #1143 · 05/26/2023, 01:59 PM
6 Best Secure Messaging Alternatives to WhatsApp | Avoid the Hack – https://avoidthehack.com/best-secure-messengers The content of your messages and the metadata associated with them should be secure and private. Unfortunately many messengers out there fail to do this. Telegram operates in the cloud, and while this does have good portability across multiple devices and device types, the service provider (or anyone with access to the cloud server) could theoretically read them at any time with relative ease; Telegram stores messages on the third-party cloud provider's server. According to Telegram’s privacy policy, the service itself logs IP addresses and phone numbers. #Infosec#Session#SimpleXchat#Briar#Threema #Element#Telegram#privacy