Optimizing LLM Model Performance for Real-Time Applications (opens in new tab)

Real-time applications, from live coding assistants to conversational voice agents, require LLM latency measured in hundreds of milliseconds, not seconds. Achieving this consistently demands more than a fast model weights file. It requires a systems-level approach that spans model selection, serving infrastructure, client integration, and cost controls. This guide covers the concrete techniques that reduce time-to-first-token (TTFT) and inter-token latency, and where Oxlo.ai fits into a low-l...