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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

@libreware · Post #962 · 06/30/2021, 12:49 PM

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Off the Grid Messenger Off The Grid (OTG) Messenger is an easy way for people to communicate through text messages when in remote areas. With a theoretical transmission range of 10 miles (16kms), OTG messenger can be used by groups of people to stay connected when they are in areas not serviced by mobile connectivity. For portability and low power purposes, the device was created by re-purposing an old Nokia e63 phone I had laying around. The enclosure, LCD, keypad, backlighting and speaker have been re-used however the motherboard was re-designed from the ground up with low power components, a modern STM32 H7 microcontroller, an ISM LoRA radio and expanded flash memory. https://github.com/TrevorAttema/OTGMessenger Comments https://news.ycombinator.com/item?id=27659105 #otg#offthegrid#grid#im#messenger#alternatives#cellphone#mobile#nokia

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