phissenschaft

3 tahun yang laludiscuss

I use Emacs for most of my work related to coding and technical writing. I've been running phind-v2-codellama and openhermes using ollama and gptel, as well as github's copilot. I like how you can send an arbitrary region to an LLM and ask for things about it. Of course the UX is in early stage, but just imagine if a foundation model can take all the context (i.e. your orgmode files and open file buffers) and can use tools like LSP.

phissenschaft

3 tahun yang laludiscuss

I just stopped worry and succumbed to https://github.com/emacs-evil/evil. Now I only mostly just fiddle with orgmode configs to generate nice looking HTML and PDFs.

phissenschaft

3 tahun yang laludiscuss

Been using Spack for a while to manage my machine learning package dependencies. It allows me to quickly spin up projects with complex dependencies (my current environment has 329 packages built ...). It's pretty easy to use with containers. It allows me to evaluate and migrate to different PyTorch/CUDA versions easily.

phissenschaft

6 tahun yang laludiscuss

My concept of a "REPL" is mostly defined by emacs. You would have a buffer with a code file, with an active jupyter kernel with the correct dependencies loaded in it. Then one would send any active region with `C-c C-c` and get timely feedback.

With this mode https://github.com/nnicandro/emacs-jupyter one can connect to a jupyter kernel running locally or remote (would mostly prefer SSH port forwarding or kubectl port-forward the remote jupyter server). It makes life so much easier to interact with cloud environment (e.g. spark).

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