[P] LLM-VM: Fine-tune anywhere & avoid big models.

I wanted to share a project I’ve been working on, [LLM-VM](https://github.com/anarchy-ai/LLM-VM). It’s a community-first, open-source tool designed to enhance the efficiency of fine-tuning and inference for large language models (LLMs) both locally and in cloud environments.

At its core, LLM-VM implements recursive synthesized distillation with automatic task discovery. This means it can iteratively refine training data and model parameters, aiming to optimize model performance with less computational overhead.

Our goal with LLM-VM is to provide a practical and accessible platform …

computational core data deployment developers discovery distillation llm machinelearning parameters performance platform practical recursive refine researchers synthesized training training data