Can Language Models Formulate ML Problems?
LLMs struggle to identify ML problems in real-world data, limiting their reliability for analytical tasks. While agentic systems offer partial solutions, true automation requires reasoning over complex systems. This blog examines these challenges and explores a new data representation model as a potential step forward.