⚠️ Unsupported Browser

Your browser is not supported.

The latest version of Safari, Chrome, Firefox, Internet Explorer or Microsoft Edge is required to use this website.

Click the button below to update and we look forward to seeing you soon.

Update now

The State of AI 2020: Creating a Model That Performs Better than Google, at a Fraction of the Cost

Kylie Whitehead
1 Oct 2020 - 3 minutes read

The latest State of AI report from Nathan Benaich and Ian Hogarth has just been released and we’re thrilled that PolyAI has featured – twice!

The report highlights the vast costs of training a model.

“Based on variables released by Google et al., you’re paying circa $1 per 1,000 parameters. This means OpenAI’s 175B parameter GPT-3 could have cost tens of millions to train. Experts suggest the likely budget was $10M.”

The report features PolyAI’s ConveRT model as a prime example of how data-efficient models can outperform large models in specific dialogue use cases, offering an affordable, pre-trained solution to enterprise clients.

Check out what our CTO, Shawn Wen, has to say about PolyAI’s contributions in this video:

You can read more in this ZNet write up of the report.

The report also showcases PolyAI’s voice assistant for restaurant bookings, which launched last year with a large UK restaurant group. The report highlights how our voice assistant can:

  • understand noisy speech from telephone lines and has a success rate of >90% for an average 8-turn conversation.
  • learn from interactions much faster than their predecessors like Siri or Alexa.

Read the report in full here, or get in touch with PolyAI today to find out more about our conversational AI solutions.

Get in Touch

Learn more about voice-based conversational AI, request a demo or find out how PolyAI can help.

The latest from PolyAI

PolyAI Maintains Lead Over IBM Watson Assistant and Other Popular Language...

Michael Chen | February 2021

Had a Bad Experience with a Voice Assistant? Here’s Why
How to Avoid Building a Voice Assistant That Annoys Your Customers

Kylie Whitehead | January 2021

Conversational ID&V vs Voice Biometrics:
Conversational ID&V vs Voice Biometrics: A New Approach to Authenticating...

Michael Chen | January 2021