Much of the recent discourse within the NLP research community has been centered around
Large Language Models (LLMs), their functionality and potential--yet not only do we not …

Large Language Models (LLMs) are a type of artificial intelligence that uses information from
very large datasets to model the use of language and generate content. While LLMs like …

Large Language Models (LLMs) have shown the potential to revolutionize natural language
processing tasks in various domains, sparking great interest in vertical-specific large …

When posed with a logical puzzle that demands reasoning about the knowledge of others
and about counterfactuals, large language models (LLMs) display a distinctive and …

Large Language Models (LLMs) have significantly impacted numerous domains, notably
including Software Engineering (SE). Nevertheless, a well-rounded understanding of the …

Many books and courses tackle natural language processing (NLP) problems with toy use
cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a …

As large language models (LLMs) become more advanced and impactful, it is increasingly
important to scrutinize the data that they rely upon and produce. What is it to be a dataset …

Artificial intelligence (AI) has a profound impact on traditional education. In recent years,
large language models (LLMs) have been increasingly used in various applications such as …

This article investigates a new phenomenon of enterprise large language models (ELLMs)
focusing on what they are, why they are being developed, and what are some key …

In recent years, large language models (LLMs) have come into view as one of the most
transformative developments in the technical domain, influencing diverse sectors ranging …