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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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😂👉Вышел Новый Open source и пипец какой мощный го тестить! Цены $0.04 per second for 1080p, $0.08 per second for 1440p $0.16 per second for 2160p 10 sec 4к 50 fps со звуком это лютая лють) Формат можно прописывать в ручную #fal | AcidCrunch

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Host Testing and evaluation

@HostEvaluate · Post #831 · 09/26/2022, 04:39 AM

#AEZA#DE#FAL Host Provider: AEZA Location: Falkenstein, Germany (Combahton) Specification: 1vCore(Ryzen 5950X) | 2GB RAM | 30G NVMe | Unmetered @ 1Gbps | €6.18 / Mo Looking Glass: lg.aeza.net 购买地址 感觉不如直接去买 Hetzner 的公有云或者 OLVPS 法兰克福。顺便吐槽一嘴,他们家 LG 真难用,做 traceroute 主机名也不显示。联通回程 telia, 电信 retn, 移动 de-cix. https://paste.red/p/04b35c727b10

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