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Source channel @githubtrending · Post #14993 · Jul 24
#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch
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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