If you need to dig deeper into the dependencies that brew has installed on your Mac, you can show a complete dependency tree using: brew deps –tree –installed If you need to see who relies on a specific target Formulae: brew uses –installed <targetFormulae> REFERENCES brew.sh, deps command syntax apple.stackexchange, ‘brew deps’ showing all … Mac: list deep dependencies of Homebrew formulae
It is relatively easy to experiment with a base LLama2 model on M family Apple Silicon, thanks to llama.cpp written by Georgi Gerganov. The llama.cpp project provides a C++ implementation for running LLama2 models, and takes advantage of the Apple integrated GPU to offer a performant experience (see M family performance specs).
minikube makes it easy to spin up a local Kubernetes cluster on macOS, and adding an Ingress is convenient with its built-in Addons. In this article, I want to take it one step further and show how to expose the Ingress via TLS (secure https) using a custom key/certificate chain.
The Apple Virtualization Framework (AVF) provides the ability to run completely independent virtual machines on top of M family Apple Silicon. For example, you can run multiple versions of MacOS virtualized for validating an application or its dependencies against different environments. Additionally, cloning an existing VM (with little cost thanks to APFS copy-on-write) allows you … Mac: bare-metal virtualization on Apple Silicon with virtualbuddy
Although you could use brew to install Python directly, the cleaner way to manage Python versions and isolate Python virtual environments is by using pyenv and pyenv-virtualenv. pyenv allows you to install and switch between different versions of Python, while pyenv-virtualenv provides isolation of pip modules, for independence between projects.