New Trick Makes AI Chatbots Reply 2.5x Faster — Almost Zero Quality Loss

When you ask a large AI model a question, it does two things: it reads your prompt, then it writes its reply. Both steps take time, and with popular "multiple-expert" AI architectures, different parts of the model handle different tasks. Think of it like a hospital with hundreds of specialists: only a few need to see your case, but coordinating them takes effort.

The bottleneck is different for each step. Reading your question demands heavy computation; writing the answer is limited by how fast the model can pull up memory. Previous fixes only tackled one of these, and they often lost accuracy. ExFold, a new technique from researchers posted on arXiv, solves both at once using a clever trick they call "expert folding."

Instead of running every relevant expert, ExFold runs a smaller, smarter set and mathematically "folds" the skipped experts' contributions into the remaining ones. The result, which they built as a plug-in for the popular open-source AI tool vLLM, is a 1.41x speedup in first response time and a 2.45x speedup in ongoing text generation — all while keeping about 99% of the original output quality.

This is still a research paper, not yet available in your favorite chatbot. But it points to a clear future: faster AI answers without dumber results, and cheaper servers to run it all. For everyday users, that means less spinning, less waiting, and more natural conversations with AI — on the same hardware we already have.