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Source channel @githubtrending · Post #14717 · May 18

#jupyter_notebook Learning about Large Language Models (LLMs) can be very beneficial. You can build exciting projects over eight weeks, starting with simple tasks and moving to more complex ones. This journey helps you develop deep expertise in AI and LLMs. You'll learn by doing hands-on projects, which is a fun and effective way to understand how these models work. By the end, you'll have skills that can be used in real-world applications, making it a valuable learning experience. https://github.com/ed-donner/llm_engineering

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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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