How Fast Can AI Respond When You Talk to AI?

For your conversational AI, it can range from milliseconds to 10s or even hundreds of milliseconds this time calculation is based on the model design and infrastructure used here onResponse from HTTP request etc. High-performance hardware might get you all the way down to 0.1 seconds for eg with modern AI (like GPT-4). Responses are expected in 1 second and services like Google Assistant or Apple’s Siri deliver near-instantaneous replies. Advanced models process more than 175 billion parameters, says OpenAI.

This is largely dependent on latency, which in turn depending upon the underlying hardware and software optimizations. Thanks to the huge number of data centres across numerous regions that are part and parcel of Amazon’s AWS cloud infrastructure, her Alexa service has a physically close place from which users requesting services reside, with most people seeing latency no higher than 100-200 milliseconds. Alternatively, local or on-device processing—such as Apple’s neural engine — rather than in the cloud can allow for an even swifter response to some of these queries which would otherwise include latency caused by operation based at a remote server. These AI-based assistants have actually doubled response times in several real-world events and companies are spending millions to reduce latencies. Millions of users are experiencing 70% faster customer service inquiries with Microsoft’s Azure-hosted AI bots in day-to-day life today as compared to three years ago.

Words like throughput and inference speed are used in the industry to depict how long AI takes from an input to generating output. For services requiring fast response times right through, high throughput and fast inference speed are important. For instance, in a bank chatbot that answers customer queries can easily handle processing 50 requests per second which means it’s fully meeting the real-time demand. For developers, it means AI opponents in the game can respond really fast — within just a few milliseconds— so players don’t see any lag when playing.

As Google CEO Sundar Pichai famously said, “ AI is the best we ever made.” The issue with producing responses as close to real-time as possible is obvious because of the large amount of data given and calculations imposed by most big businesses in technology. Quicker AI responses mean happier consumers, something critical in healthcare where conversational AI has managed to reduce patient asks within seconds. In clinical applications, IBM Watson now delivers 30% faster actionable insights as of 2015 regarding medical decisions.

For real-time applications like live translation where AIs are compared to compete side by side, the speed of response sacrifices depth– translations must be returned in milliseconds that allows for fluid communication. Models on a larger scale might need some more time, but for normal conversational use-cases AI answers immediately. Communication is key in this interaction between people and ai, not just because instant replies are generally more convenient and engaging — but also because it moves the conversation along.talk to ai

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top
Scroll to Top