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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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Host Testing and evaluation

@HostEvaluate · Post #610 · 02/25/2020, 12:32 PM

来自群友 @ilemonrain 的投稿 HostProvider: Netfront(HongKong) Specification: 4 vCore | 4096M RAM | 128G SAN HDD Network: 1T @ 96Mbps Looking glass: 202.81.237.1 Price: 80HKD/Month #HK#Netfront#HKIX Proxmox虚拟化架构,实际virt-what检测结果为 hyperv+qemu https://paste.ubuntu.com/p/Vb8JWjxYfs/