Deep learning algorithms are prone to a previously unknown problem, say a team of computer scientists at Google.

Amazon is building a more “generalized and capable” large language model (LLM) to power Alexa, said Amazon CEO Andy Jassy during the company’s first-quarter earnings call yesterday. An LLM, like ChatGPT, is a deep learning algorithm that can recognize, summarize and generate text and other content based on knowledge from enormous amounts of text data.

Jassy said that although Amazon has had an LLM powering Alexa, the tech giant is working on one that is more capable than the current one. The Amazon executive believes that the addition of an improved LLM will help Amazon work toward its goal of building “the world’s best personal assistant,” but acknowledged that it will be difficult to do so across many domains.

“I think when people often ask us about Alexa, what we often share is that if we were just building a smart speaker, it would be a much smaller investment,” said Jassy during the call. “But we have a vision, which we have conviction about that we want to build the world’s best personal assistant. And to do that, it’s difficult. It’s across a lot of domains and it’s a very broad surface area. However, if you think about the advent of Large Language Models and generative AI, it makes the underlying models that much more effective such that I think it really accelerates the possibility of building that world’s best personal assistant.”