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Source channel @githubtrending · Post #14815 · Jun 10

#jupyter_notebook#chatglm#chatglm3#gemma_2b_it#glm_4#internlm2#llama3#llm#lora#minicpm#q_wen#qwen#qwen1_5#qwen2 This guide helps beginners set up and use open-source large language models (LLMs) on Linux or cloud platforms like AutoDL, with step-by-step instructions for environment setup, model deployment, and fine-tuning for models such as LLaMA, ChatGLM, and InternLM[2][4][5]. It covers everything from basic installation to advanced techniques like LoRA and distributed fine-tuning, and supports integration with tools like LangChain and online demo deployment. The main benefit is making powerful AI models accessible and easy to use for students, researchers, and anyone interested in experimenting with or customizing LLMs for their own projects[2][4][5]. https://github.com/datawhalechina/self-llm

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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40829 · 03/19/2026, 11:01 AM

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Learning another language may slow brain aging, according to a huge new study. Multilingual people show less cognitive decline compared to those who speak only one language. The study suggests that speaking multiple languages helps keep brain networks active, especially those responsible for memory and attention, protecting the brain from aging effects. 🧠🌍💬 [Read more] @googlefactss #BrainHealth#Multilingual#CognitiveScience#Learning#HealthyAging

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#brainhealth #multilingual #cognitivescience #learning #healthyaging

📮漫游日报 Roam Daily

@roam_newsletter · Post #803 · 07/28/2022, 03:32 PM

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I want to re-learn everything inside @RoamResearch, to be problem-solving oriented. Roam Research #React.js Again Roam Research #Coding Again Roam Research #Agile Again Roam Research #Psychology Again Roam Research #CognitiveScience Again Roam Research Learning Again #roamculthttps://t.co/ljfRdF2KVw — jimmylv.eth (🐣, 🐣) 吕立青 2𐃏22 🇨🇳 (@Jimmy_JingLv) Jul 28, 2022

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#react #coding #agile #psychology #cognitivescience #roamcult