Any home gardener knows they have to tailor their watering regime for different plants. Forgetting to water their flowerbed ...

For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills.

Katanemo Labs' new LLM routing framework aligns with human preferences and adapts to new models without retraining.

To accomplish this, the system uses Monte Carlo Tree Search (MCTS), a decision-making algorithm famously used by DeepMind’s AlphaGo. At each step, AB-MCTS uses probability models to decide whether ...

For an increasing number of companies, reasoning models (AI that thinks through problems rather than just following commands) are making traditional prospecting look as outdated as a Rolodex.

The aim of this paper is to introduce a formulation of linear programming problems involving triangular intuitionistic fuzzy numbers for the objecive coefficient. We propose a new method for solving ...

The linearized power flow (PF) model is mainly used to make the optimal power flow (OPF) problem convex. However, existing data-driven linear PF models are not applicable for OPF calculation since the ...

python book optimization ampl linear-programming milp modeling-language nonlinear-optimization nonlinear-programming mip mixed-integer-programming linear-optimization integer-linear-programming ...