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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 #64783 · 04/09/2026, 11:05 PM

🚀 High-Stakes Bet on Bulls vs. Wizards NBA Game A significant wager has been placed on the Polymarket prediction platform regarding the NBA regular season game between the Chicago Bulls and the Washington Wizards. According to Odaily, an account with a history of over $4.3 million in losses has invested $150,000 on the Bulls to win against the Wizards with a 5.5-point spread, at an average opening price of 56 cents. Additionally, the same account has placed a $40,000 bet on the Bulls to win with a 6.5-point spread, at an average opening price of 50.9 cents. The NBA regular season game between the Bulls and the Wizards commenced today at 7 a.m. UTC+8. As the season nears its conclusion, the Bulls hold a record of 30 wins and 49 losses, placing them 12th in the Eastern Conference. Meanwhile, the Wizards have a record of 17 wins and 62 losses, ranking 15th in the Eastern Conference. #HighStakesBet#BullsVsWizards#NBA#Polymarket#ChicagoBulls#WashingtonWizards#NBASeason#Betting#SportsBetting#PointSpread#BasketballBetting#EasternConference