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Source channel @githubtrending · Post #14909 · Jul 3

#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm

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RCNN Ticker

@RCNNticker · Post #898 · 08/28/2019, 11:30 PM

NIA 公佈九月 #FieldTest 詳細資訊: 2019-09-14 14:30~15:00 Check-in (報到並取得競賽資訊) 2019-09-14 15:15~16:45 Hexathlon (進行 6 項指定競賽) ※ 本活動需以 IngressPrime 進行 ※ 完成6項競賽,才能拿到活動章 ※ 任1項分數在前10%,可得到 Elite 版本活動章 ※ 本活動需事先登記報名,請持續關注報名資訊! 各地 Check-in 塔訊息,詳見公告: https://ingress.com/eventdescription/hexathlon-20190914

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RCNN Ticker

@RCNNticker · Post #921 · 09/25/2019, 01:43 PM

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