Search Results: ModelOptimization

OpenAI’s latest release, GPT‑4 Turbo, promises the same performance as GPT‑4 but at a fraction of the cost and with significantly lower latency. The new model is already live on the OpenAI API, opening the door for developers to build larger, more complex AI applications without the budgetary constraints that previously limited experimentation.

Scaling large language models to handle billions of requests with low latency isn't just about throwing more GPUs at the problem—it involves secretive optimizations, custom hardware, and trade-offs that remain closely guarded by giants like OpenAI. This article explores the elusive engineering tricks, from bare-metal CUDA hacks to clever load balancing, and why cost and secrecy dominate the high-stakes AI infrastructure race.

OpenAI is poised to release GPT-5 imminently, potentially as early as this week, signaling a major evolution in AI capabilities. The model will intelligently auto-select between reasoning and speed-optimized approaches, promising higher-quality responses and cost savings for developers. This release follows months of anticipation and strategic pivots by Sam Altman's team.