Alexa has proven adept at handling a narrower range of questions, many tied to facts, or Amazon's core strength in shopping.
Another challenge: When M could complete tasks, users asked for progressively harder tasks.
Using machine learning to make software better at understanding natural language and conversation is one of the group's primary interests.“We launched this project to learn what people needed and expected of an assistant, and we learned a lot," Facebook said in a statement.
"We're taking these useful insights to power other AI projects at Facebook.
Get started quickly with a complete bot-building environment. Azure Bot Service speeds up development by providing an integrated environment that’s purpose-built for bot development with the Microsoft Bot Framework connectors and Bot Builder SDKs.And at its 2016 F8 conference, Facebook pitched bots to developers as the best way to connect with 900 million Messenger users.Few expected that voice assistants like Amazon's Alexa and Google Assistant would thrive and text-based chatbots would become a punchline.A fully automated M would have to do things far beyond the capabilities of existing machine learning technology.Today's best algorithms are a long way from being able to really understand all the nuances of natural language.