Artículos relacionados a Methods to Improve AI Code Generation

Methods to Improve AI Code Generation - Tapa blanda

Rashid, Mohd

 
9785161063675: Methods to Improve AI Code Generation
Tapa blanda
ISBN 10: 516106367X ISBN 13: 9785161063675
Editorial: Rashid Publications, 2026

Sinopsis

In recent years, transformer-based AI language models have gained prominence due to their powerful capabilities in a variety of tasks including generation of images, video, text and code. Large Language Models (LLMs) exist with parameters counts of a trillion parameters and greater. Such models are proprietary and unavailable for organizations to deploy privately. Even if such deployments were possible, the tremendous resource requirements of LLMs preclude their deployment on infrastructure smaller than enterprise and hyper-scale data centers. Small Language Models (SLMs), with far lower parameter counts of billions or fewer are a viable alternative for use on small servers and edge devices including PCs. While SLMs possess similar generative capabilities as LLMs, the reduction in model size is correlated with a decrease in accuracy when evaluated across a broad range of generative applications, including code generation in multiple languages.

To mitigate this shortcoming, an SLM may be fine-tuned with a curated code dataset consisting of code examples in a target programming language. This praxis presents results illustrating how two fine-tuned SLMs variants have been created that improve average accuracy in C++ code generation by more than 9%, and Rust code generation by more than 14%.

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
Rashid Publications
Año de publicación
2026
Idioma
Inglés
ISBN 10 
516106367X
ISBN 13 
9785161063675
Encuadernación
Tapa blanda
Número de páginas
90
Contacto del fabricante
no disponible
Persona responsable
GPSR Kontakt
gpsr@libri.de

Europaallee 1
Bad Hersfeld
36244
Alemania