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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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Libertà è ragione

@libertaeragione · Post #3982 · 10/06/2023, 12:56 AM

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#Elezioni#RegnoUnito#Suppletive#RutherglenHamiltonWest Risultati definitivi: Michael #Shanks (#LAB|S&D): 58,6% Katy #Loudon (#SNP|G/EFA): 27,6% Thomas #Kerr (#CON|Centro-destra): 3,9% Gloria #Adebo (#LDEM|RE): 2,9% Cameron #Eadie (#Greens/#ScotsGreens|G/EFA): 2% David #Stark (#Reform|Destra populista): 1,3% Niall #Fraser (#SFP|Destra familiarista cristiana): 1% Bill #Bonnar (#SSP|Sinistra indipendentista): 0,9% Colette #Walker (#ISP|Indipendentisti): 0,7% Christopher #Sermanni (#TUSC|Sinistra): 0,6% Andrew #Daly: 0,3% Ewan #Hoyle (#Volt|G/EFA): 0,2% Prince Ankit #Love, Emperor of India: 0,1% Garry #Cooke: 0% LAB GUADAGNA su SNP. @OsservatorioEsteri