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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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Venture Village Wall 🦄

@venturevillagewall · Post #3882 · 01/15/2025, 10:00 AM

Multiple Fundraising Rounds Announced Several companies secured funding recently: - OpenCopilot raised $1.52M for AI customer support. - Archive Intel secured $1.50M for AI-driven data archiving solutions. - Serene obtained $1.14M using AI for customer insights and compliance. - Sytrex raised $1.10M to aid financial institutions. - Tire Swing acquired $500K focusing on cybersecurity. In other news, the SEC sues Elon Musk over misleading shareholders during the Twitter acquisition, and Meta plans to lay off 3,600 employees for inefficiency. More updates on AI job creation and Bitcoin market analysis suggest significant changes ahead. #Funding#AI#Crypto#SEC#ElonMusk#Meta#Bitcoin#CustomerSupport#DataArchiving#FinancialInstitutions#AIJobs#LayerZero#Serene#Sytrex#TireSwing#ArchiveIntel#OpenCopilot