From the course: Introduction to NLP and LLMs: Principles and Practical Applications
Join today to access over 24,500 courses taught by industry experts.
Team essential skills and competencies
From the course: Introduction to NLP and LLMs: Principles and Practical Applications
Team essential skills and competencies
- [Instructor] Building a strong team requires individuals with technical expertise and soft skills as team members need to work collaboratively across roles. This chart shows the relationship between key skills and a number of roles that typically require those skills in an NLP/LLM project. For example, privacy, security, and ethical considerations, and data pre-processing and annotation are skills relevant to the highest number of roles involving AI ethics specialists, data engineers, project managers, data scientists, and annotators. Fine-tuning and deploying LLMs and proficiency in NLP/LLM frameworks are relevant to a smaller number of roles, primarily involving ML engineers and data scientists. In essence, ethical considerations and data handling are broadly important across various roles, while specific model work is more concentrated. Investing in team training and professional development is important as you begin planning your NLP/LLM projects. This chart shows the diverse…
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.
