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Source channel @githubtrending · Post #14993 · Jul 24

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#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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@NewsAndTipsNT · Post #3466 · 07/03/2025, 04:38 PM

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📰 Telegram has started developing a platform for creating your own gifts — Gift Studio. The platform will obviously allow you to make full-fledged and custom #gifts from your .tgs-files, which will be used fully, like regular gifts. In addition, due to the fact that Telegram added the text "by @xxx" next to "Collection gift №yyy", then in your custom gifts it will be possible to confirm your creative work and talent. 🛠Now the platform has just begun development, and authorization by phone number of your Telegram account does not work yet. #suggested

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