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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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KYVE Announcements

@kyveannouncements · Post #322 · 06/20/2023, 04:04 PM

💫 With our first mainnet data pool now live, making CosmosHub chain data trustless for the #interchain ecosystem, what blockchain should we start archiving & validating next? 🤔 Tag them in the comments below! 💬👇 https://twitter.com/KYVENetwork/status/1671187001075277825

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KYVE Announcements

@kyveannouncements · Post #356 · 12/18/2023, 04:02 PM

KYVE is partnering with Syntropynet! Taking #interchain data to new bounds 💫 🤝 In the spirit of the #modular era, Syntropy & KYVE are each bringing forward their specialized data solutions to ensure a reliable, full-scope data experience from start to finish for both historical & real-time data streams. Learn more about this exciting partnership ⤵️ https://x.com/KYVENetwork/status/1736776359043539058?s=20