It's a curated guide and resource for understanding and building machine learning and LLM infrastructure.
This repository offers a structured collection of research papers and industry best practices for building AI systems, including ML, LLM, and Generative AI infrastructure. It categorizes resources by topics such as `data_processing.md`, `training.md`, and `llm_serving.md`, providing a roadmap from foundational concepts to advanced deployment. Users can access video tutorials and a `mlsys-whitepaper.pdf` for deeper insights into the field.
It's a curated guide and resource for understanding and building machine learning and LLM infrastructure.
Engineers and researchers building or studying machine learning, LLM, and GenAI infrastructure will find this a valuable resource.
A curated list of research in machine learning systems. Link to the code if available is also present. Now we have a team to maintain this project. You are very welcome to pull request by using our template.
