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Source channel @githubtrending · Post #14826 · Jun 12

#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data. https://github.com/FareedKhan-dev/all-rag-techniques

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Venture Village Wall 🦄

@venturevillagewall · Post #3446 · 12/19/2024, 01:01 PM

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Insight on Pricing Strategy A Telegram bot for online store owners is launching with a subscription price of 320 rubles per month, which is lower than competitors to attract users. The creator struggled with pricing, consulting friends and family, leading to a divide in opinions. A seasoned relative advised that the price might be too low, suggesting a higher price to target a more serious audience. The discussion emphasizes that proper pricing should balance economic viability and marketing return, stating that high perceived value justifies higher pricing. Key takeaway: avoid relying on inexperienced opinions about business strategies. #Subscription#Ecommerce#PricingStrategy#MarketResearch#OnlineStore#BusinessAdvice#UserFeedback#ProductValue#Entrepreneur#Marketing#TelegramBot#ValuePricing#MarketCompetition#ConsumerInsights#Startup#BusinessModel

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