#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
#tailwindCss#frontend
Tailwind bilan animatsiyalarni yanada chiroyli qiling!
CSS’da murakkab easing funksiyalarini yozib o‘tirish shart emas. Origin UI sizga 20+ tayyor animatsiya sinflarini taqdim etadi.
✅ Faqat kerakli klassni nusxalaysiz va loyihangizga qo‘shib qo‘yasiz — hammasi tayyor!
Frontend loyihalaringizni jonlantirish uchun juda qulay.
🔗 Ko‘rib chiqing: originui.com/easings
💻@dasturlash_hayoti— Dasturchilar uchun eng kerakli maslahatlar va foydali kontent
#typescript#svelte#sveltekit#tailwindcss#tauri
Epicenter is a free, open-source set of local-first apps that let you own and control your data by storing everything—notes, transcripts, chats—in one simple folder using plain text and SQLite. You can use any AI model you want, customize tools, and access your data anywhere without relying on cloud services. Key apps include Whispering, which transcribes your speech locally, and epicenter.sh, a personal assistant that helps you search and interact with your data. This setup gives you privacy, flexibility, and full control over your information, avoiding locked, siloed apps and data traps. It’s great for anyone who values data ownership and open software.
https://github.com/epicenter-so/epicenter