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  1. vLLM is a workhorse to run inference for any LLM under the sun.

  2. In a common workflow we create a virtual environment using different tools inside of the project directory.

  3. Learn how to build your own powerful Large Language Model (LLM) application that can search the web, extract information, and answer your questions – all LOCALLY!

  4. Large Language Models are great at generating code, but we need to go an extra mile to run them; well not any more.

  5. Having a private PyPI repository can be beneficial in many ways.

  6. GitHub Actions is a powerful and versatile CI/CD solution that works for different teams and projects.

  7. Signing artifacts should be a crucial part of our workflow.

  8. GitHub Actions is the default choice for CI/CD in many Open Source and Enterprise projects.

  9. EC2 is one of the fundamental services provided by AWS and used by many who come across the platform.

  10. Command line applications are developers best friend.

  11. Docker is an indispensable tool for development.

  12. Kubernetes is a big and complicated technology and it clearly requires some time and dedication to wrap your head around.

  13. Whatever we write on the Shell, its history is saved on the HISTFILE.

  14. Git has a solution to all of our problems, you just need to know where to look.

  15. make is one of the tools that we use heavily for streamlining tasks on our projects.

  16. Kubernetes has been used heavily on production for the past few years.

  17. There are a lot of tools that allow you to setup a local Kubernetes cluster in no time.

  18. We have come a long way in building distributed applications.