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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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Ethio-Veterinary- vacancy

@vetjobethiopia · Post #5 · 10/30/2023, 02:42 PM

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Venture Village Wall 🦄

@venturevillagewall · Post #3492 · 12/19/2024, 01:58 PM

Nest Veterinary Secures $700K Funding Nest Veterinary has successfully raised $700,000 in funding to support its innovative platform that enables users to create and manage customized wellness plans for pets. This funding round took place on December 16, 2024. For more details, visit Nest Veterinary. #Veterinary#Funding#WellnessPlans#Pets#Startup

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@TgDict · Post #287 · 12/19/2023, 12:43 AM

#medicine#biology #book#vet#veterinary https://t.me/vetlibrary https://t.me/veterinaryebook https://t.me/DrAtefElhendi https://t.me/vets_hub https://t.me/veterinarybooks97 https://t.me/vetheart2021 https://t.me/starvetbooks https://t.me/yazmes