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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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EnergoMenejer

@energomenejer · Post #1403 · 02/03/2026, 04:02 PM

Bugun UNDP ko‘magida tashkil etilgan tadbir doirasidagi uchrashuvlar va muhokamalar yuqori saviyada, juda samarali va amaliy ruhda o‘tmoqda. Energiya tejamkorligi, ESCO mexanizmlari va ularni moliyalashtirish bo‘yicha olib borilayotgan muloqotlar davlat va xususiy sektor o‘rtasidagi real hamkorlikni kuchaytirib, yangi investitsion va texnologik imkoniyatlarni ochib bermoqda. SKB.uz sifatida biz bunday xalqaro platformalarda faol ishtirok etib, ilg‘or tajribalarni chuqur o‘rganish, ularni mahalliy sharoitga moslashtirish va yirik, barqaror energiya samaradorligi loyihalarini amalga oshirishni o‘z oldimizga strategik maqsad qilib qo‘yganmiz. 🇬🇧 The meetings and discussions held today within the framework of the event organized with the support of UNDP are taking place at a very high professional level and are strongly practice-oriented. #EnergyEfficiency#ESCO#UNDP#SKB#Leadership#GreenFinance#SustainableDevelopment#InternationalCooperation@energomenejer