Сумма технологий
@sum_tech · Post #111 · 12/08/2024, 04:05 AM
Очень актуальная шутка. #ai#ии#dbms#юмор
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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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Сумма технологий
@sum_tech · Post #113 · 12/09/2024, 02:19 AM
Рекомендуем всем ИТ-профессионалам иногда читать прекрасный канал "В мире больших данных". Нестандартный взгляд на базы данных и современное состояние ИТ в целом. #партнеры#dbms#рекомендуем
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@githubtrending · Post #15580 · 03/23/2026, 11:30 AM
#go#cli#database#database_management#dbms#environment#local#postgres#postgresql#supabase Supabase CLI lets you run Supabase locally, manage database migrations, deploy functions, generate types from your schema, and make secure API calls. Install easily via npm (`npm i supabase --save-dev`), Homebrew, Scoop, or binaries for any OS, then run `supabase init` and `supabase start` to launch your full stack with local URLs and keys. This benefits you by speeding up development, testing changes offline without cloud costs, ensuring type safety, and simplifying CI/CD for reliable deploys. https://github.com/supabase/cli