LLM stacks ‐‐ 3 YT ‐‐ 3.1 Platforms and tools - terrytaylorbonn/auxdrone GitHub Wiki

25.0728 Lab notes (Gdrive), Git

This section describes the Youtube demos for the platforms and tools needed for LLM demos.

The previous wiki page "1 Selected examples" described some example deployments to give an idea of what can be done with LLM apps.

To start deploying your own demos, instead of starting at the tech bottom ("what is a tuple?"), you need to start at the top, learning how to deploy basic demos. This is the way to do things because

• AI LLMs struggle (for now) to cover (accurately) platform and tool details. So you need to learn it yourself.
• LLMs are great at guiding you through the low level code tasks.

Examples of tools and platforms

• Github
• Render
• CloudFlare
• AWS/GCP (I tend to avoid working with these because of their scam pricing policies and tricks; they also want to lock you into their proprietary ecosystem)

List (WIP) of docx's

• #418_(BINGO)_gemini_cli_. Turns VSC into an AI IDE.
  • 9 smolagents in chinese
  • 8 asking gemini to create gradio UI (FAIL)
  • 7 GIT
  • 6 (BINGO) 🚀保姆级教程！Google震撼发布Gemini CLI！
  • 5 (BINGO) How to Install & Use Gemini CLI + MCP: A Step-by-Step Tutorial
  • 4 GPT: restart / local install / start VSC (BINGO)
  • 3 (JUNK) Gemini CLI + ANY MCP Server — Step-by-Step Tutorial
  • 2 (TODO) GeminiCLI - The Deep Dive with MCPs
  • 1 Introducing Gemini CLI (BINGO)