Rethinking parametrization: Models only need to know capabilities, tools handle the details
antoine_chaffin · x · 2026-08-13
Following up on the question of what information should be parametrized, the author elaborates on the depth of knowledge:
- Models don't need to know everything in detail.
- They only need to know that a specific capability or piece of information exists.
- When needed, the model can dig into the specifics via tool calling.
This layered approach could be an effective way to optimize weight allocation.
Related event: Rethinking LLM Weight Allocation: Focus on Function Awareness Over Details(2 posts)→
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