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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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#jupyter_notebook #chatglm #chatglm3 #gemma_2b_it #glm_4 #internlm2 #llama3 #llm #lora #minicpm #q_wen #qwen #qwen1_5 #qwen2

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GitHub Trends

@githubtrending · Post #14935 · 07/09/2025, 01:30 PM

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#other#clients#mcp The Model Context Protocol (MCP) is an open standard that lets AI models easily and securely connect to different data sources and tools, making it much simpler for developers to build smart apps that can access files, databases, and APIs without custom code for each one[2][3][4]. There are many free and easy-to-use MCP clients—like desktop apps, web apps, and command-line tools—that let you quickly add new AI features and automate tasks, so you can get more done with less effort and technical hassle. This means you can use AI to help with coding, data analysis, and daily work, all while keeping your data safe and your setup flexible[2][3][4]. https://github.com/punkpeye/awesome-mcp-clients

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#other #clients #mcp

djangoproject

@djangoproject · Post #109 · 08/03/2016, 11:20 AM

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https://github.com/sourcesimian/pyTelegramBotAPI An implementation of the #Telegram#Bot#API messages and some simple #clients. Used by: txTelegramBot - An easily customisable bot written in Twisted Python3.

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#telegram #bot #api #clients

djangoproject

@djangoproject · Post #327 · 04/30/2017, 01:28 AM

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https://www.tutorialspoint.com/python/python_networking.htm Python provides two levels of access to network services. At a low level, you can access the basic #socket support in the underlying operating system, which allows you to implement #clients and #servers for both connection-oriented and connectionless protocols.

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#socket #clients #servers

Upwork Profile Mastery

@UpworkProfilePro · Post #568 · 02/19/2026, 09:52 AM

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Most freelancers fail before they even start… because they skip this one step! They rush into work without truly understanding the client’s needs. Knowing their goals helps you deliver exactly what they expect. Good communication builds trust and long-term relationships. 👉 What do you think? React if you agree. @UpworkProfilePro #Tipsoftheday#Clients#communication

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#tipsoftheday #clients #communication