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ã¯ããã« llama.cppã¯Metaã®å¤§è¦æ¨¡è¨èªã¢ãã« (Large Language Models, LLMs) ã§ããLLaMAããéååãããã¨ã§CPUä¸ã§åä½ããããã®ã§ãããC/C++ã§å®è£ ããã¦ããã®ã§ãRuby bindingsãä½ã£ã¦ãRubyããå¼ã³åºããããã«ããã github.com 使ãæ¹ ã¤ã³ã¹ãã¼ã«ã¯é常ã®native extensionsãªgemã¨åæ§ã§ããã $ gem install llama_cpp ã¢ãã«ãç¨æãã¦éååããå¿ è¦ãããããllama.cppãcloneãã¦ãã¦ãUsageã®éãã«ããã°ã§ããã GitHub - ggerganov/llama.cpp: Port of Facebook's LLaMA model in C/C++ ãã¨ã¯ãæ®éã«requireããã°ä½¿ããã require 'llama_cpp' # ãã©ã¡ã¼ã¿ã
Last week I had an opportunity to give an online lecture about containers to students at Kyoto University. The slide deck can be found here (PDF): 1. Introduction to containersWhat are containers?Containers are a set of various lightweight methods to isolate filesystems, CPU resources, memory resources, system permissions, etc. Containers are similar to virtual machines in many senses, but they ar
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