The data foundations that make AI work. Data quality, governance, architecture, pipelines, and the GenAI shift from training to retrieval. Most AI failures are data failures — learn the patterns and prevent them.
...architecture. Embeddings are numerical representations of meaning. When text is embedded, it becomes a vector — a list of numbers that captures semantic similarity. Similar meanings produce nearby vectors....