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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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@venturevillagewall · Post #4339 · 03/08/2025, 01:00 PM

Top 5 Insights from Trendoscope Lab 1️⃣ a16z's new report reveals top B2C AI apps by traffic differ from revenue leaders like photo and video editors. Read more 2️⃣ Google launches AI Mode with Gemini, initially for Google One subscribers, enhancing AI SEO relevance. Details here 3️⃣ Short drama apps surge with 221% annual growth in downloads, affecting traditional streamers like Netflix and Disney+ that declined by 35%. Insight found here 4️⃣ Google and Meta enable developers to access cameras on XR devices, easing previous privacy restrictions. More info and here 5️⃣ Google enhances Android widget visibility with new filters and dedicated pages. Learn more #AI#Google#Tech#Streaming#XR#Investments#B2C#Apps#VideoEditing#Photos#Dramas#SEO#Privacy#Android#Widgets#Investing#VC#a16z#Trends#Innovation