When Uri Valevski, Rom Cohen and I began our journey founding Hyro in 2018, we were fascinated with the idea that humans can communicate with technology via natural language (voice assistants and chatbots), but at the same time disappointed with the over-simplistic, rigid experiences that were nothing like the natural language communication we’d imagined.Businesses struggled to provide quality chat and voice solutions, and their customers noticed. To be blunt—chatbots were everywhere, and they sucked.
New $10.5M funding led by Spero Ventures, with participation from the leading cloud communications platform Twilio Inc. and Mindset Ventures, will advance the expansion of Hyro’s AI-powered Adaptive Communications Platform across key verticals.
Google used over a trillion parameters to train its new language model, the most ever. But is this jaw-dropping engineering feat going to revolutionize enterprise chatbots and conversational AI? Find out here.
We get asked this question at least once a week, and for good reason. The (truthfully warranted) confusion surrounding this topic is as widespread as it is self-perpetuating.From our perspective, it is mostly the result of years of misinterpretation and misleading semantics that are endemic of any field that gains extreme traction, attention, and popularity in a short period of time. Chatbots and conversational AI are often used interchangeably to describe the same thing, which is valid to a small extent, but on the whole, their differences are glaring and, in a business setting, crucial...
In late 2020, Elon Musk-backed artificial intelligence laboratory, OpenAI, released its latest, much anticipated 175 billion parameters autoregressive language model, GPT-3. Will it transform conversational AI as we know it? Find out here.
At the COVID-19 pandemic's peak, the Booking, Entertainment, Airlines, Cruises, and Hotel markets saw more than $332 billion in value evaporate. Conversational AI, however, boomed. Find out from our COO, Michael, why this happened.