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if this statement sounds familiar, you are not foreign to the field of computationallinguistics and conversational AI. In this article, we will dig into the basics of ComputationalLinguistics and Conversational AI and look at the architecture of a standard Conversational AI pipeline.
If a computer program is trained on enough data such that it can analyze, understand, and generate responses in natural language and other forms of content, it is called a Large Language Model (LLM). An easy way to describe LLM is an AI algorithm capable of understanding and generating human language.
Natural Language Processing (NLP) plays a crucial role in advancing research in various fields, such as computationallinguistics, computer science, and artificial intelligence. Supported tools include a Name finder, Tokenizer, Document categorization, POS tagger, Parser, Chunker, and Sentence detector.
Recent Progress Recent progress in this area can be categorized into two categories: 1) new groups, communities, support structures, and initiatives that have enabled broader work; and 2) high-level research contributions such as new datasets and models that allow others to build on them. Joshi et al. [92] 2340–2354). Winata, G.
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