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I'm as LLM reliant as the next person.. But we forget there are other models too, specialized models that are cheaper and more effective to use depending on the task.. E.g.: Agents need tools for structured data predictions.

Tuana

@tuana.dev

LLMs handle reasoning and orchestration. But when it reasons that it needs to predict an outcome based on structured data, it should also reason about routing to an appropriate tool: a tabular foundation model.

3/8/26, 3:02 pm0 reposts0 likes

Tuana

@tuana.dev

3 Aug

Tabular foundation models work as a prediction tool in agent workflows. The agent passes it structured data and a prediction task. Our TFM at @prior_labs - TabPFN uses historical structured data as context and returns results, in a single forward-pass.