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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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NIDO Russia (НИДО)

@nido_russia · Post #1871 · 11/13/2024, 04:08 PM

Supreme Court's decisions on Community/Estate Associations issue. Case Law: In the case of FAMAKINWA & ORS V. ODOFIN OLOJA ESTATE RESIDENTS ASSOCIATION & ORS (2016) LPELR-41066(SC), the Court ruled: 1. Residents are bound by rules of the estate association, even if they are not members. 2. Estate associations can make management & maintenance rules for the estate. 3. These rules are enforceable on all residents. The decision was on the following grounds: 1. Purchasing/renting property within the estate, implies consent to abide by the estate's rules. 2. Residents have a vested interest in maintaining the estate's amenities and services. 3. Allowing non-members to disregard estate rules would undermine the association's ability to maintain order & manage the estate effectively. The court also stressed that: 1. Estate association rules must be reasonable & not arbitrary or oppressive. 2. Residents must be given fair notice & opportunity to be heard before sanctions or penalties are imposed. https://t.me/nido_russia/1871 #realestate#tenancy#landlord#tenant#apartment#flat