Run an AI Large Language Model (LLM) at home on your GPU

Download Docker Desktop: https://dockr.ly/46NkFOJ
This video is sponsored by Docker. https://www.docker.com/

Large Language Models (LLMs) are a type of AI model that have proven to be extremely powerful and useful for a wide variety of tasks. They may be "large" in the sense that they use billions of parameters, but that doesn't mean you need to be a big company in order to run one. In fact, you can run some of the latest and greatest LLMs on your own machine, on your GPU, completely for free. We'll see how to do all that and more in this video using Docker Desktop! We'll even write an app to detect YouTube comment spam using an LLM.


― mCoding with James Murphy (https://mcoding.io)

Docker: https://www.docker.com/
Ollama: https://ollama.com/
Ollama Docker image: https://hub.docker.com/r/ollama/ollama
Ollama Python: https://github.com/ollama/ollama-python
GPU compatibility: https://developer.nvidia.com/cuda-gpus

Docker Tutorial Video: https://youtu.be/b0HMimUb4f0
Fast Pow algorithm Video: https://youtu.be/GrNJE6ogyQU
YouTube Data API Video: https://youtu.be/0F9sdRtbwkE

Source code: https://github.com/mCodingLLC/VideosSampleCode

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Discord: https://discord.gg/Ye9yJtZQuN
Github: https://github.com/mCodingLLC/
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CHAPTERS
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0:00 Intro
0:56 Prerequisites
2:24 Running an model
4:33 Building an app
8:33 Containerizing the script