#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
Logitech MX Master 3S — zamonaviy texnologiya va ergonomikaning uyg‘unlashgan cho‘qqisi bo‘lib, RTINGS sinovlarida universal eng yaxshi sichqoncha sifatida e’tirof etilgan.
Uning o‘ziga xos ergonomik dizayni, gorizontal va vertikal g‘ildiraklari hamda gesture-tugmalari bir necha funksiyalarni bir harakat bilan boshqarish imkonini beradi.
4K ekranlar uchun yuqori aniqlikdagi sensor moslashuvi bilan jihozlangani esa bu sichqonni professionallar uchun ayni muddao qiladi.
Bu reklama emas, shunchaki sichqonchani yaxshisini tavsiya qilyapman, o'yin uchun esa Razer Viper V3 Pro eng zo'ri.
Siz qanaqa markadagi sichqoncha ishlatasiz?
👉Bizning barcha loyihalar | #mouse
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🐭Mouse Hunter :14 Jul
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🐭Mouse Hunter :13 Jul
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🐭Mouse Hunter :03 Jul
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🐭Mouse Hunter :02 Jul
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🐭Mouse Hunter :30 Jun
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🐭Mouse Hunter :28 Jun
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🐭Mouse Hunter :24 Jun
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🐭Mouse Hunter :23 Jun
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