Merve Noyan releases local AI slide deck covering llama.cpp topics
The deck compresses hardware-level tradeoffs that usually take weeks of trial and error into one reusable resource, and attribution-based reuse makes it usable directly for internal team training or meetup talks. Anyone deploying local inference on constrained hardware can use it to pick between quantization levels or memory setups. Pair it with a llama.cpp install to follow the examples hands-on.
