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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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Airdrop Presents 🗽

@airdrop_presents · Post #2883 · 04/16/2024, 06:55 AM

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👽 Good news, friends! 🚀 I have something exciting to share with you today - an incredible SOAI project that I'm really looking forward to and I'm going to be involved with. Picture this: a world where AI is not just about algorithms and calculations, but about making real emotional connections. This is what SOAI is all about! Forget everything you thought you knew about chatbots and virtual assistants. SOAI is more than just a digital companion;. It is also an emotional companion to the soul. It's a whole new way to experience companionship and understand human emotions. SOAI will start pre-sale on the Solana chain on April 29. For specific pre-sale prices and sharing details, please pay attention to the SOAI official website and official Twitter account! ✅ SOAI Twitter: https://twitter.com/SOAI_web3 ✈️ SOAI Telegram: https://t.me/+j-WC1OsezTZlNTk0 SOAI official website: www.soai.org #SOAI#SoulCoin#SOAIToken#AISoulmates#EmotionalValue#TokenRewards

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