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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 · 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