Restructuring the Data Science Workflow with LLMs
Integrating LLMs into the data science workflow is no longer just a theory; it is a practical reality. The process, once manual and sequential, is transforming into a highly automated and collaborative one driven by AI. Increased Efficiency: Repetitive tasks, such as data cleaning and code writing, are being automated. Lowered Barrier to Entry: Business analysts and domain experts can interact with models using natural language, making it easier for them to participate in data science projects. Collaborative Innovation: LLMs act as an "intelligent co-pilot" for data scientists, helping them explore better solutions together. Part I: Background and Concepts Chapter 1: The Eve of Change: Challenges in Traditional Data Science Amid the AI wave, data science has become a core engine for business growth. However, behind this seemingly promising field, data scientists face a series of deep-seated challenges. These challenges not only affect project efficiency but also limit the s...