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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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INVEST REPORT ICO | DEFI | WEB3 - metaverse - Meme coins Invest and trading announcement 📈📈📈

@tradeandinvest_ann · Post #592 · 06/08/2023, 12:26 PM

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🎙DINOWARS MOON SHEET announcement What do I already know about the project: 👇 1️⃣Upcoming announce of launch at more than 20+ launchpads 2️⃣Attracted the attention of DAO Maker and received an invitation to run with them 3️⃣Preparing listing at ByBit 4️⃣The community is so crazy that they get tattoos with characters from the game 5️⃣Launch of the game is very soon (I’ve already seen the insides) 6️⃣Now they've started to actively swing, preparing contests (with cash prizes) and some major movement ✅About DINOWARS token metric - Token name: #DINV - IDO price: 0,25$ - Initial price: 0,4$ - Total Supply: 50,000,000 $DINV - Listing: July - August 👉 JOIN NOW #DINOWAR#DINV#IDO#Listing#DAOMAKER#Pinkasale#BYBIT#Fundraising

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