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

1 code implementation • 7 May 2024 • Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda

Increasingly, code LLMs are being integrated into software development environments to improve the productivity of human programmers, and LLM-based agents are beginning to show promise for handling complex tasks autonomously.

Code Generation Decoder

Towards API Testing Across Cloud and Edge

no code implementations • 6 Sep 2021 • Samuel Ackerman, Sanjib Choudhury, Nirmit Desai, Eitan Farchi, Dan Gisolfi, Andrew Hicks, Saritha Route, Diptikalyan Saha

API economy is driving the digital transformation of business applications across the hybrid Cloud and edge environments.

Environment Transfer for Distributed Systems

no code implementations • 6 Jan 2021 • Chunheng Jiang, Jae-wook Ahn, Nirmit Desai

The method transfers audio signatures between environments for distributed acoustic data augmentation.

Data Augmentation

SEEC: Semantic Vector Federation across Edge Computing Environments

no code implementations • 30 Aug 2020 • Shalisha Witherspoon, Dean Steuer, Graham Bent, Nirmit Desai

Specifically, for scenarios where multiple edge locations can engage in joint learning, we adapt the recently proposed federated learning techniques for semantic vector embedding.

Edge-computing Federated Learning +3

neuralRank: Searching and ranking ANN-based model repositories

no code implementations • 2 Mar 2019 • Nirmit Desai, Linsong Chu, Raghu K. Ganti, Sebastian Stein, Mudhakar Srivatsa

The key idea behind this algorithm is to base model suitability on the discriminating power of a model, using a novel metric to measure it.

Transfer Learning