
Summary
ChatGPT can summarize your spreadsheets, but can it actually predict what comes next?
On the latest episode of The Neuron, Neuralk CEO Alexandre Pasquiou explains why LLMs struggle with prediction on structured business data. When language models flatten rows and columns into text, they lose critical numerical relationships.
Enter tabular foundation models like Seldon built specifically to learn from raw numbers, distributions, and multi-million-row datasets without building custom ML pipelines. By 2030, specialized tabular models could power every enterprise forecasting workflow while LLMs handle orchestration.