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Enabling small language models to solve complex reasoning tasks
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...
This course will introduce you to problem-solving using programming. Beginning with simple tasks like evaluating mathematical expressions, calculating income-tax, to solving JEE problems (maths, ...
Abstract: This paper presents a novel hardware approach for solving systems of linear equations by leveraging in-memory computing (IMC) with memristive crossbar arrays. Unlike conventional ...
This repository is an implementation of the NeurIPS 2024 paper: IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs. Constrained Nonlinear Programs (NLPs) represent a ...
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