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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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@startupslezamneverit · Post #529 · 03/29/2023, 06:42 AM

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🚀 Exciting news! Business Incubator MOST is thrilled to announce our partnership with Surge Summit, the premier startup event in the EECCA region and beyond, happening this September! 🌍 As partners, we're proud to support an event that fosters innovation and collaboration, bringing together startups, investors, and ecosystem stakeholders under one roof. 🤝 At Surge Summit, you can expect to experience inspiring talks, engaging panel discussions, hands-on workshops, and exclusive matchmaking sessions with investors. And if you're a startup, don't miss the opportunity to participate in the Surge Summit Pitch Competition, where you could win €20,000! 💰 Join us at this game-changing event and be part of the thriving startup community! Secure your spot now 👉https://www.surgesummit.io/ #SurgeSummit#MOST#Partnership#EECCA#Innovation#Networking#PitchCompetition#Startups

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