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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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@truegames · Post #96 · 01/17/2025, 03:55 PM
🔥 The Second Semifinal: It will be difficult to choose 🔥 🐉 Haku: Can his wisdom (and maybe a good dentist) defeat "Toothless"? Or will he "Spirited away"? 🐲 Toothless: If he doesn’t bite Haku, his overwhelming cuteness might just win this battle. The final boss is waiting—a massive Smaug who fears hobbits and shiny gold rings. Who will take him on? Vote bellow! #DragonsCall#TrueLabGames
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@truegames · Post #120 · 01/31/2025, 03:08 PM
🔥1 week after Dragon's Call release and we got: 👾70,000players played 😮x1268max win In celebration of this we redesign game cover in different art styles🎨, try to guess what those styles are! #dragonscall#truelab#slots
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@truegames · Post #67 · 12/26/2024, 03:52 PM
It's all kind of foggy👀 Did you hear that? It sounds like a dragon's wing...🐲 #Truelabgames#slots#OnlineCasino#Dragonscall
@truegames · Post #119 · 01/30/2025, 04:52 PM
Our new column - Panda news from Dragon's Call📰 Today we discuss Colombia's tax hike in gambling💔 What do you think of this format?🐼 #news#pandanews#slots#dragonscall