OpenAI’s GPT-5.4 mini and nano models cut costs and latency while staying close to flagship performance, giving developers faster AI options for real-time apps without sacrificing core capabilities.

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

This hands-on PoC shows how I got an open-source model running locally in Visual Studio Code, where the setup worked, where it broke down, and what to watch out for if you want to apply a local model ...

In A Nutshell A new study found that even the best AI models stumbled on roughly one in four structured coding tasks, raising ...