Granite Code Models: A Family of Open Foundation Models for Code Intelligence

Researcher at IBM Research and coauthor of the Scaling Granite Code Models to 128K Context.

Researcher at IBM Research and coauthor of the Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

Marina Danilevsky is a research staff member at IBM Research working on NLP, human-centered AI, foundation models, and data-centric AI. She has been at IBM since 2014 and has led work on ontology learning, data quality, and model evaluation. She earned her PhD in Informatics from the University of Edinburgh.

Researcher at IBM Research and coauthor of the Scaling Granite Code Models to 128K Context.

Researcher at IBM Research and coauthor of the Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

Jimmy Lin is a computer scientist whose work spans information retrieval, natural language processing, and large-scale machine learning systems.

Rahul Nair is an AI engineer at IBM Research working on foundation models, AI agents, retrieval-augmented generation, and machine learning systems.

Researcher at IBM Research and coauthor of the Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

Researcher at IBM Research and coauthor of the Scaling Granite Code Models to 128K Context.

Researcher at IBM Research and coauthor of the Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

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Prashanth Doddapaneni

Sriram Raghavan

Raghavendra Padmanabha Rao

Kiran Solaiman

Aakanksha Ail

Marina Danilevsky

Mairgup Mansurov

Prakruthi M.R.

Bhadra M. R.

Carolyn Rosé

Sarath Chandar

Mona Diab

Laura Haas

Rita Singh

Jiawei Han

Morris S. Smith

Jimmy Lin

Rahul Nair

Amrutha Bhattacharjee

Tongshuang Wu

Shihan Dou

Ya Zhou

Nandu Pathak

Hariharan Muralidharan