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gg

This entry links every published equation using this exact notation. Its meaning may change between equations.

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Used in 94 equations

a∗=arg⁡min⁡a∈A Lval(w∗(a), a)subject tog(a)≤B,w∗(a)=arg⁡min⁡w Ltrain(w,a)a^* = \arg\min_{a \in \mathcal{A}} \ \mathcal{L}_{\text{val}}\big(w^*(a),\, a\big) \quad \text{subject to} \quad g(a) \le B, \qquad w^*(a) = \arg\min_{w} \ \mathcal{L}_{\text{train}}(w, a)

Shrink It, Train It Small, or Search for It: The Main Strategies for Small Models, Compared · Equation 19

This equation states a bound: one expression must stay on the indicated side of the other under the article’s assumptions.

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g(i)∼πsuper(g∣task),at(i)∼πworker(i)(a∣o≤t(i), ht(i), g(i)).g^{(i)} \sim \pi_{\text{super}}(g \mid \text{task}), \qquad a_t^{(i)} \sim \pi_{\text{worker}}^{(i)}\bigl(a \mid o_{\le t}^{(i)},\ h_t^{(i)},\ g^{(i)}\bigr).

Comparing the Main Approaches to AI Agent Architecture · Equation 8

This equation states a bound: one expression must stay on the indicated side of the other under the article’s assumptions.

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