Facebook Artificial Intelligence Research (FAIR) today announced plans to launch a testing environment in which AI researchers and bot makers can share and iterate upon each other’s work.
While the initial focus is on open-sourcing the dialogue necessary to train machines to carry on conversations, other research on ParlAI will focus on computer vision and fields of AI beyond the natural language understanding required for this task. The combination of smarts from multiple bots and bot-to-bot communication will also be part of research carried out on ParlAI.
Researchers or users of ParlAI must have Python knowledge to test and train AI models with the open source platform. The purpose of ParlAI, said director of Facebook AI Research Yann LeCun, is to “push the state of the art further.”
“Essentially, this is a problem that goes beyond any one heavily regarded dialogue agent that has sufficient background knowledge. A part of that goes really beyond strictly getting machines to understand language or being able to understand speech. It’s more how do machines really become intelligent, and this is not something that any single entity — whether it’s Facebook or any other — can solve by itself, and so that’s why we’re trying to sort of play a leadership role in the research community and trying to direct them all to the right problem.”
The ability to hold a conversation has been key…
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