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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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@tonlines · Post #7105 · 05/08/2025, 12:14 PM
TapSwap Community: Share Your Ideas for the Beta #TapSwapBeta#Web3Gaming TapSwap is inviting community members to contribute ideas for their beta version. Participants can suggest game ideas, features to test, or provide feedback on existing elements. Successful ideas may be implemented in the final release. Source: link @tonlines
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@tonlines · Post #6981 · 04/30/2025, 11:55 AM
⚡️TapSwap Community: Major News Incoming Tomorrow! #TapSwapBeta#SkillGaming#Web3Games TapSwap Community announces a major update about their private beta launching tomorrow, featuring three exclusive skill-based games in Telegram. Limited spots are available, and interested participants should prepare to apply using a Google form link with their Telegram handle. Source: link @tonlines