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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: • Docker Tutorial for Beginners
Fast Pow algorithm Video: • Fast pow! A general recursive power a...
YouTube Data API Video: • Python + YouTube API | Automating des...
Source code: https://github.com/mCodingLLC/VideosS...
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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