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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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DWF Labs Broadcast

@DWFLabs · Post #224 · 02/20/2023, 09:02 AM

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In our latest episode of DWF Chats, we hosted Michael Norton, the Global Community Manager of Solve.Care! In this interview, we discussed Solve.Care's use of the blockchain to create a more #efficient and effective healthcare system, and how this platform can reduce costs and improve patient #outcomes. We're proud to support the work towards the decentralization of #healthcare through Solve.Care's #innovation in this space. Don't miss this conversation here. // About Solve.Care: ▫️Solve.Care is a healthcare relationship management platform using blockchain to define the next generation of care coordination, benefit administration and payments. Visit https://solve.care/ to find out more.

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Venture Village Wall 🦄

@venturevillagewall · Post #3360 · 12/18/2024, 12:07 PM

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Gander Raises $500K for AI Solutions Gander has secured a funding round of $500K, announced for December 4, 2024. The company focuses on assisting airlines in creating flexible, AI-powered workflows that enable customers to request reimbursements and compensation efficiently. #Funding#AI#Airlines#Reimbursement#Compensation#Workflows#Finance#Tech#Innovation#CustomerService#Gander#Investment#Startup#Digital#Support#Flexibility#Solutions#Technology#Efficient#CustomerExperience