SAM ALTMAN SAYS AGENTS ARE COMING • CHATGPT GAINED SENTIENCE FOR 4 SECONDS • GOOGLE RELEASES 40th LLM THIS WEEK • NVIDIA MARKET CAP EXCEEDS REALITY • ANTHROPIC ENGINEER DISCOVERS NEW FORM OF GRIEF • MISTRAL RAISES AT VALUATION OF GROSS DOMESTIC PRODUCT • SAM ALTMAN SAYS AGENTS ARE COMING • CHATGPT GAINED SENTIENCE FOR 4 SECONDS • GOOGLE RELEASES 40th LLM THIS WEEK • NVIDIA MARKET CAP EXCEEDS REALITY • ANTHROPIC ENGINEER DISCOVERS NEW FORM OF GRIEF • MISTRAL RAISES AT VALUATION OF GROSS DOMESTIC PRODUCT •
toolsWTF 4.1via r/MachineLearning

GPT-2 KV cache from scratch: correctness, latency, and memory measurements [P]

"Back to basics: proving the math behind KV caching with raw PyTorch and cold hard metrics."

Explain Like I'm Normal

A developer rebuilt GPT-2's Key-Value (KV) cache from scratch to measure the actual performance delta between theoretical math and real-world GPU latency. The study provides a detailed breakdown of memory savings and identifies subtle implementation bugs that unit tests often miss. It serves as a high-quality technical deep dive for anyone trying to understand why LLM inference is memory-bound.

Read original ↗
#pytorch#inference#optimization#gpt-2

GET THE DAILY CHAOS

The only newsletter for people who read AI news at 3am and feel things. One email a day.