VentureBeat

New AI training method creates powerful software agents with just 78 examples

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
Frontiers

Numerical optimization of large-scale monotone equations using the free-derivative spectral conjugate gradient method

This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the ...
INSPIRE

A Conjugate Gradient Method: Quantum Spectral Polak–Ribiére–Polyak Approach for Unconstrained Optimization Problems

Quantum computing is an emerging field that has had a significant impact on optimization. Among the diverse quantum algorithms, quantum gradient descent has become a prominent technique for solving ...
Scientific Research Publishing

Formulation of a Preconditioned Algorithm for the Conjugate Gradient Squared Method in Accordance with Its Logical Structure ()

1 Division of Science, School of Science and Engineering, Tokyo Denki University, Saitama, Japan. 2 Department of Physics and Mathematics, College of Science and Engineering, Aoyama Gakuin University, ...
Scientific Research Publishing

Finite Step Conjugate Gradients Methods for the Solution of an Impedance Operator Equation Arising in Electromagnetics ()

A class of finite step iterative methods, conjugate gradients, for the solution of an operator equation, is presented on this paper to solve electromagnetic scattering. The method of generalized ...
IEEE

Spectral Conjugate Gradient Methods with the Generalized Quasi-Newton Equation

Abstract: In order to solve the global optimization problem in engineering and management, Spectral conjugate gradient methods are used in this paper. By introducing the generalized quasi-Newton ...