#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
📱 TCL Flip 4 5G: tosh davriga qaytishni istaganlar uchun
ℹ️ TCL kompaniyasi yangi Flip 4 5G telefonini taqdim etdi — klassik bukiluvchi dizayn va zamonaviy 5G texnologiyasi uyg‘unlashgan model.
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✅ Bu model soddalikni qadrlovchilar, katta yoshdagilar uchun qulay tanlov bo‘lishi mumkin.
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➡️#tcl | Birinchi raqamli IT-Blog
https://wiki.python.org/moin/TkInter
#Tkinter is Python's de-facto standard GUI (Graphical User Interface) package. It is a thin #object-oriented layer on top of #Tcl/Tk.
Tkinter is not the only GuiProgramming toolkit for Python. It is however the most commonly used one. CameronLaird calls the yearly decision to keep TkInter "one of the minor traditions of the Python world."
The Tkinter wiki: http://tkinter.unpythonic.net/wiki/