Signing up for classes and I am debating between a Natural Language Processing class and a LLM engineering class. Which one is the better option? I feel like there’s been a lot of recent discourse about LLMs becoming irrelevant in the near future.
Natural Language Processing: Introduces the computational modeling of human language; the ongoing effort to create computer programs that can communicate with people in natural language; and current applications of the natural language field, such as automated document classification, intelligent query processing, and information extraction. Topics include computational models of grammar and automatic parsing, statistical language models and the analysis of large text corpora, natural language semantics and programs that understand language, models of discourse structure, and language use by intelligent agents. Course work includes formal and mathematical analysis of language models and implementation of working programs that analyze and interpret natural language text. Knowledge of statistics is helpful.
Engineering LLM-Integrated Systems: Studies the software engineering foundations for systems that integrate large language models (LLMs). Examines how LLM-integrated systems turn natural language instructions into actions. Offers opportunities to build systems with natural and fluid interfaces, integrate them with existing software, rigorously test their behavior, and understand their failure modes and limitations.
Not sure which one will be more helpful! For context I am a data science major but interested in working in machine learning in the future!
Comments URL: https://news.ycombinator.com/item?id=45947507
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Source: news.ycombinator.com
