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Source channel @githubtrending · Post #14737 · May 22

#other This book provides a systematic introduction to large language models (LLMs), covering topics like traditional language models, LLM architectures, prompt engineering, efficient parameter tuning, model editing, and retrieval-enhanced generation. It aims to be easy to read and rigorous, with monthly updates and a list of relevant papers. The book helps readers understand LLMs' principles and applications, making it beneficial for those interested in AI and NLP. It offers a structured learning path, which is useful for both beginners and advanced learners. https://github.com/ZJU-LLMs/Foundations-of-LLMs

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Crypto M - Crypto News

@CryptoM · Post #64776 · 04/09/2026, 10:11 PM

🚀 CFTC and DOJ Legal Actions Could Influence Future of Prediction Markets The Commodity Futures Trading Commission (CFTC) and the Department of Justice (DOJ) have initiated legal proceedings against the states of Arizona, Connecticut, and Illinois concerning their actions against CFTC-registered prediction markets. According to NS3.AI, a recent 2-1 ruling by the Third Circuit Court upheld an injunction preventing New Jersey from applying its gambling laws to Kalshi, a prediction market platform. The court determined that Kalshi's contracts related to sports events are classified as swaps under the Commodity Exchange Act, thereby falling under the exclusive jurisdiction of the CFTC. This legal dispute has the potential to significantly influence the regulatory framework for decentralized prediction markets and crypto-native derivatives across the United States. #CFTC#DOJ#PredictionMarkets#Kalshi#CommodityExchangeAct#Regulation#CryptoDerivatives#USLaw#LegalActions#DecentralizedFinance