Probably raised $9 million to build an AI system that catches hallucinations and factual errors before they reach users. Their data-science tool wraps LLM outputs in a deterministic validator “mech suit,” letting it run smaller models locally while ensuring each answer matches the source data.

The article discusses the shifting landscape for data scientists and machine learning engineers in the age of large language models (LLMs). It emphasizes the importance of data science fundamentals in evaluating AI systems, addressing common pitfalls in metrics, experimental design, and data quality. The author argues that the core work of data scientists remains vital, even as their roles evolve.

Livedocs is a collaborative platform that merges the functionality of notebooks with app-building simplicity, ideal for various data tasks such as exploration, analysis, and visualization. It supports powerful AI tools, enabling users to perform advanced analytics, create interactive dashboards, and share insights effortlessly.