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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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Venture Village Wall 🦄

@venturevillagewall · Post #3770 · 01/01/2025, 10:00 PM

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Telegram Unveils Major NFT Update 🎉 Telegram introduces a big update allowing gifts and stickers to be converted into NFTs. Gifts gain unique traits like emotions, backgrounds, and colors, enhancing their individuality and value. Rare traits will be limited to 10% of users, creating opportunities for resale at higher prices. Gifts can be converted for 25 Stars, while minting NFTs incurs network fees. Future integration with platforms like Fragment or GG is expected for seamless NFT creation. 🐸 The latest highlight is a unique frog gift gaining traction! For more details, visit: Full Update #Telegram#NFT#Gifts#Crypto#Updates#Blockchain#Stars#Minting#Fragment#GG#Frogs#RareItems#DigitalAssets#Community#Market#Trading#Tech#Innovation#SocialMedia#Engagement#CryptoTrends

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