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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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Crypto M - Crypto News

@CryptoM · Post #65441 · 04/13/2026, 08:34 AM

🚀 Japanese Game Company WIZE Expands Solana Holdings Japanese game company WIZE, formerly known as Mobcast Holdings, has announced that its cumulative purchase of SOL has reached approximately $3.13 million (500 million yen) as of April 10, 2026. According to Foresight News, the company currently holds over 24,597 SOL, with an average purchase price of around $127 (20,327 yen) per SOL, ranking 15th globally on CoinGecko's 'Solana Treasury Holdings' list. Over the past six months, WIZE has earned more than 400 SOL in staking rewards. The company's 'WIZE Validator Node' has officially joined the Solana Foundation's SFDP program and has received delegations from projects like DoubleZero. Including external delegations, WIZE's total treasury amounts to approximately 152,000 SOL. The company aims to further increase its holdings to enter the top 10 globally as soon as possible. #JapaneseGameCompany#WIZE#Solana#SOL#ForesightNews#SolanaTreasuryHoldings#StakingRewards#WIZEValidatorNode#SFDP#DoubleZero#Crypto#Blockchain#Cryptocurrency#GameIndustry