FastGPT, developed by Kagi, represents an AI-powered innovation engineered to address a specific query: what’s the swiftest conceivable AI answering engine that can seamlessly operate an entire search engine infrastructure? This visionary proof of concept places paramount importance on processing speed, yielding answers in a remarkable timeframe, often within ~900ms.

FastGPT doesn’t aim for utmost precision that demands extended processing periods. Instead, its core mission centers on providing users with succinct general topic summaries culled from the vast expanse of the web.

At its core, FastGPT harnesses the capabilities of large language models, renowned for their potency yet often criticized for sluggish performance and limited insight into current events. To surmount these challenges, FastGPT ingeniously integrates a complete search engine infrastructure, bridging the gap to deliver faster and more accurate results.

In essence, FastGPT emerges as a practical tool for those seeking swift snapshots or broad insights into specific subjects. It doesn’t set out to furnish exhaustive or exceedingly precise information but rather offers rapid overviews.

FastGPT’s emphasis on optimization for speed renders it an invaluable asset in any AI toolkit, offering a distinctive approach to acquiring timely information and knowledge.