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Source channel @githubtrending · Post #14926 · Jul 8

#jupyter_notebook#artificial_intelligence#book#large_language_models#llm#llms#oreilly#oreilly_books You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs. https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

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Crypto M - Crypto News

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

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🚀 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

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