Have a general understanding of the current state-of-the art in statistical language models. Understand how at least one statistical language model is implemented and can be applied (via the course ...

For instance, the research found that for facts that appear only once in the training data, the hallucination rate of AI is at least equal to the proportion of such facts in the t ...

This paper presents a novel method to segment/decode DNA sequences based on n-gram statistical language model. Firstly, we find the length of most DNA “words” is 12 to 15 bps by analyzing the ...

Among these, the popularity of diffusion language models is particularly noteworthy. What is a diffusion language model? Why has it garnered such immense attention in a short period? This article will ...

GPT-3 is, in short, a statistical language model drawing on a training corpus of 499 billion tokens (mostly Common Crawl data scraped from the internet, along with digitized books and Wikipedia ...

Statistical language models assign probabilities to sequences of words, and are used in systems that perform text summarization, machine translation, question answering, information extraction, text ...