Search Results for author: Mark McQuade

Found 3 papers, 3 papers with code

Arcee's MergeKit: A Toolkit for Merging Large Language Models

2 code implementations20 Mar 2024 Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, Luke Meyers, Vlad Karpukhin, Brian Benedict, Mark McQuade, Jacob Solawetz

The rapid expansion of the open-source language model landscape presents an opportunity to merge the competencies of these model checkpoints by combining their parameters.

Language Modelling Multi-Task Learning

Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

1 code implementation24 Nov 2022 Floriana Ciaglia, Francesco Saverio Zuppichini, Paul Guerrie, Mark McQuade, Jacob Solawetz

The evaluation of object detection models is usually performed by optimizing a single metric, e. g. mAP, on a fixed set of datasets, e. g. Microsoft COCO and Pascal VOC.

Image Retrieval Medical Object Detection +13

Deep Lake: a Lakehouse for Deep Learning

2 code implementations22 Sep 2022 Sasun Hambardzumyan, Abhinav Tuli, Levon Ghukasyan, Fariz Rahman, Hrant Topchyan, David Isayan, Mark McQuade, Mikayel Harutyunyan, Tatevik Hakobyan, Ivo Stranic, Davit Buniatyan

Traditional data lakes provide critical data infrastructure for analytical workloads by enabling time travel, running SQL queries, ingesting data with ACID transactions, and visualizing petabyte-scale datasets on cloud storage.

Decision Making

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