From the course: Introduction to NLP and LLMs: Principles and Practical Applications
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Key roles in an NLP/LLM team
From the course: Introduction to NLP and LLMs: Principles and Practical Applications
Key roles in an NLP/LLM team
- [Instructor] A high-performing NLP/LLM team is the foundation for successful AI initiatives. The key roles include data scientists, machine learning engineers, data engineers, domain experts, project managers, and AI ethicists and specialists. In this example scenario, a data scientists at a marketing firm is tasked with building an NLP model to analyze customer reviews and identify key themes and sentiment. They collaborate with stakeholders to define goals, such as identifying recurring themes in customer feedback, such as delivery delays or product quality. And then they determine overall sentiment, whether it's positive, negative, or neutral. They select a suitable LLM architecture for the task. Fine-tune it on a data set of customer reviews specific to the client's industry and evaluate its performance using metrics like accuracy and F score. Note, aside from data scientists, machine learning engineers, AI researchers, software engineers with AI expertise and data analysts with…
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