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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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Crypto M - Crypto News

@CryptoM · Post #65373 · 04/13/2026, 02:56 AM

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🚀 Daiwa Raises Gu Ming's Target Price to HKD 36 On April 13, according to Jin10, Daiwa released a research report raising the target price of Gu Ming (01364.HK) from HKD 35 to HKD 36, maintaining a 'buy' rating. This corresponds to a forecasted price-to-earnings ratio of 22 times for 2026. Daiwa noted that Gu Ming's takeaway proportion has decreased from a peak of 60% in the third quarter of last year to below 50%. The management expects this trend to continue, aiming to improve franchisee profitability through initiatives such as dine-in promotions, extending morning business hours, and increasing coffee sales. The firm has also raised its earnings per share forecast for Gu Ming from 2026 to 2028 by 6% to 12%. #Daiwa#GuMing#TargetPrice#HKD36#BuyRating#FranchiseeProfitability#EarningsForecast#TakeawayProportion#CoffeeSales#MorningBusinessHours

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