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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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@Stickers8Turn · Post #157 · 10/13/2023, 03:10 PM

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🧁🎂#Minho🎂🧁 В Корее ужу 14 октября,а значит,что у нашего Минхоши День Рождениe!!! Поздравляю его с этим чудесным днем😊,чтобы у него было все хорошо в этот день и без происшествий ) Твой талант, твой голос – просто сказка! Мы тебя любим и всегда рядом, Стремись к всему,чему твое сердце мечтает!!! -------------- In Korea I am on October 14th, which means that our Minhoshi has a birthday!!! I congratulate him on this wonderful day😊, so that everything will be fine on this day and without passing) Your talent, your voice is just a fairy tale! We love you and always close by, Strive for everything your heart dreams!!!

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@Stickers8Turn · Post #21 · 09/10/2023, 05:56 PM

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🍓🍓🍓🍓🍓🍓🍓🍓🍓🍓🍓 Minho click #Minho 🍓🍓🍓🍓🍓🍓🍓🍓🍓🍓🍓

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