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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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@DansGN · Post #4856 · 07/29/2022, 04:15 PM

Analogue 公布了 openFPGA 开发者计划,旨在通过 FPGA 技术在 Analogue Pocket 上支持更多硬件设备的模拟,从而更好地保存这些硬件。Analogue Pocket 现已支持 PDP-1,并可以运行《太空大战》。尽管任意一台 Analogue Pocket 设备都可以被当作开发平台,Analogue 还是生产了少量的 Analogue Developer Kits 发给特定的开发者 https://www.analogue.co/developer #Analogue#Pocket