ThreeSR/Awesome-Inference-Time-Scaling

"what, how, where, and how well? a survey on test-time scaling in large language models" repository

📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉

Curated collection of AI inference engineering resources — LLM serving, GPU kernels, quantization, distributed inference, and production deployment. Compiled from the AER Labs community.

Curated collection of papers in machine learning systems

Recipes to scale inference-time compute of open models

Accelerating AI Training and Inference from Storage Perspective (Must-read Papers on Storage for AI)

Here are my personal paper reading notes (including machine learning systems, AI infrastructure, and other interesting stuffs).

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

Everything you need to know about LLM inference