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A Markov Chain is a system that transitions between states using a random, memoryless process. Markov Chains are a great tool for simulating real-world phenomena and environments with computers. In this video, we’ll give a specific example of how to use Markov Chains in Natural Language Generation.

Watch this video to learn:

– What is a Markov Chain
– How are Markov Chains being used
– The reasons they’re useful for Natural Language Generation



Omri Gadol says:

Really cool intro thanks

Camille Vandervaeren says:

almost nothing about language generation in this video

Ayush Varshney says:

Nice video. Though it's not at all presenting the complete view of Markov chain but its good to start with.

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