Using A Fantasy Game World To Boost AI Performance

Using A Fantasy Game World To Boost AI Performance

Using A Fantasy Game World To Boost AI Performance. Usually, the researches in NLP are focused on crowdsourced static datasets and the supervised learning paradigm of training the model.

Recently, Facebook AI Research (FAIR) built and deployed a role-playing fantasy game world to boost the performance of conversational AI models such as virtual assistants. The researchers presented a fully-realised system for improving an open-domain dialogue task by utilising a deployed game for lifelong learning.

Human beings learn languages over their course of life from the interactions they have with other people. Yet, research in sophisticated natural language processing (NLP) models are done using the fixed dataset, without any ability for the model to interact with humans using language at training time at all.

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8 Open-Source Tools To Start Your NLP Journey

Teaching machines to understand human context can be a daunting task. With the current evolving landscape, Natural Language Processing (NLP) has turned out to be an extraordinary breakthrough with its advancements in semantic and linguistic knowledge.NLP is vastly leveraged by businesses to build customised chatbots and voice assistants using its optical character and speed recognition

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