Language Modeling Without Neural Networks

This blog post explores alternative language models, specifically unbounded n-gram models, which are purely statistical and don’t require training like neural networks. The author discusses improvements made to the language generation capabilities of these models, providing insights into their workings and potential applications without the complexities of neural networks.