Update README.md

README.md

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 ## Autoregressive and Prefix Language Modelling
 
 Language Modelling, especially text generation works on the principle of generating the next token based on its previous antecedents. 
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 This is what Autoregressive modelling are based on, it predicts the next token i.e. word here on the basis of token preceding it. Here, we take P(wi|wi-1), where wi is next word and wi-1 is token preceeding it, and P is the probbaility pf generating wi wrt wi-1
 
 But for Prefix Language modelling, we consider input into function and consider it in generation of our next word, i.e. the input is used as a context for generation of next tokens, calculating the conditional probability of next work wrt context. P(w|x), where w is next token and x is context and P is probability of getting w wrt x context.