Blog

Let’s read!

Nus (2)
06Th6

The Art of LLM Inference: Fast, Fit, and Free (PART 2)

Part 2: System-Level and Deployment-Centric Optimization for LLMs In Part 1, we looked at the internal mechanics of big language models, concentrating on architectural strategies such as sparse attention, cache compression, and speculative decoding to reduce compute.
MORE