Dec. 8, 2023, 9 a.m. | Sana Hassan

MarkTechPost www.marktechpost.com

The team of researchers from the University of Illinois at Urbana Champaign and Tsinghua University aimed to address the challenge of generating low-bias and high-quality coding challenges from open-source code snippets by introducing Magicoder. Magicoder outperforms existing LLMs on various coding benchmarks, including Python text-to-code generation, multilingual coding, and data science program Language Model. Prominent […]


The post University of Illinois Researchers Introduce Magicoder: a Series of Fully Open-Source Large Language Models (LLMs) for Code appeared first on MarkTechPost.

ai shorts applications artificial intelligence benchmarks bias challenge challenges code coding editors pick illinois language language model language models large language large language model large language models llms low machine learning quality researchers series staff team tech news technology tsinghua university university

More from www.marktechpost.com / MarkTechPost

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York