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Source channel @githubtrending · Post #14993 · Jul 24

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#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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HABIT AI Network🐨

@habitnetwork · Post #440 · 09/03/2025, 09:55 AM

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Mark your calendars. 9-10 Sep. Veronica Genesis. AI infra to let anyone run profitable D2C Ecommerce end-to-end! @virtuals_io#VERONICA https://app.virtuals.io/geneses/7970

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HABIT AI Network🐨

@habitnetwork · Post #437 · 09/01/2025, 07:47 AM

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Veronica on Genesis - 9 Sep. AI Agent that runs D2C Commerce end to end. Participate in Genesis on 9th. Requote Tweet with #VERONICA and your Virtuals wallet address and win an iPhone Pro 17! https://x.com/0xHabitNetwork/status/1962421877244391817

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HABIT AI Network🐨

@habitnetwork · Post #423 · 07/20/2025, 06:12 AM

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Veronica knows how to make an entrance. With her earning power and business/sales skills, she’s not just a player in the game; she’s the one setting the rules. Get ready to engage and see what rewards she has in store #Veronica#AICrypto#AIAgent

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