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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
❗️ԱՄՆ-ում միջադեպ է տեղի ունեցել UFC մարտիկ Արման Ծառուկյանի հետ․ նրան իջեցրել են ինքնաթիռից՝ թռիչքի ընթացքում հեռախոսով զբաղված լինելու պատճառով։
Մարզիկը մեկնում էր մասնակցելու Real American Freestyle 8 մրցաշարին։
#UFC
Shara "Bullet" will face Michal Oleksiejczuk
The fight will be the co-main event of the UFC tournament in Abu Dhabi, scheduled for August 3.
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Khamzat Chimaev on his return to the octagon
"There is no fighter in the UFC who has won seven fights and hasn't fought for the title. Right now, I'm training in Russia, at 'Akhmat.' I've never had conditions like this anywhere else before."
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Масштабный проект для турнира UFC
Трамп анонсировал строительство стадиона на 100 000 мест для турнира UFC рядом с Белым домом. Это будет самое массовое мероприятие в истории UFC, превосходящее предыдущий рекорд в 57 000 зрителей.
#UFC#Спорт
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