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Cake day: July 18th, 2023

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  • Some of the commands I use a lot for debugging containers, in case you go down that route:

    • docker run --rm -it --entrypoint bash <image_name>
    • This command let’s you enter a docker image with bash so you can test commands and treat it like a temporary VM. Great way to see how the image is setup
    • docker exec -it <container_name>
    • This let’s you enter a running container with bash. A great way to inspect why something might not be working or check mounted volumes, etc.

  • Once you know how to use docker/containerization it’ll be the only way you want to deploy applications. Most popular applications will also have good guides on how to setup/config the container, but sometimes you’ll need to read up on docker and Linux to figure things out.








  • If you’ve been paying attention to the field, you’d see it’s been a slow steady march. The technology that LLMs are based in were first published in 2016/2017, ChatGPT was the third iteration of the same base model.

    Thats not even accounting for all the work done with RNNs and LSTMs prior to that, and even more prior.

    Its definitely a major breakthrough, and very similar to what CNNs did for computer vision further back. But like computer vision, advancements have been made in other areas (like the generative space) and haven’t followed a linear path of progress.