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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 #65452 · 04/13/2026, 09:22 AM

🚀 Bitcoin's Potential Valuation by 2050 Discussed by Strategist PANews posted on X (formerly Twitter) that strategist Mark Moss shared his insights on the future valuation of Bitcoin during a podcast. Moss projected that by 2050, Bitcoin could reach a value of $45 million. He further speculated that if Bitcoin were to replace the U.S. dollar as the global unit of account, its value might even soar to $500 million. Moss's predictions are based on several factors, including the anticipated growth of the global store of value basket, which he estimates will reach $80 trillion by 2050. He believes Bitcoin could potentially capture around 20% of this market share. Additionally, Moss highlighted the impact of a 50-year cycle of technological revolution and the geopolitical trend towards de-dollarization, suggesting that these elements could contribute to Bitcoin's significant valuation increase. #Bitcoin#Valuation #2050 #MarkMoss#FuturePrediction#Cryptocurrency#GlobalEconomy#StoreOfValue#DeDollarization#Geopolitics#TechnologicalRevolution#DigitalCurrency#BTC