17 citations · 18 across the 5 of their papers we have counts for
5 papers
BaseRT: Advancing Best-in-Class LLM Inference with Apple M5 Neural Accelerators
Fabian Waschkowski, Prabod Rathnayaka, Lukas Wesemann
Apple's M5 generation introduces a redesigned GPU architecture in which every core carries a dedicated Neural Accelerator: on-die matrix units exposed through the Metal~4 tensor AP…
BaseRT: Best-in-Class LLM Inference on Apple Silicon via Native Metal
Prabod Rathnayaka, Fabian Waschkowski, Lukas Wesemann
We present BaseRT, a native Metal inference runtime for large language models (LLMs) on Apple Silicon, and report the highest inference throughput on this hardware to date. Existin…
Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs
Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa +5
People express their opinions and emotions freely in social media posts and online reviews that contain valuable feedback for multiple stakeholders such as businesses and political…
Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics
Supun Abeysinghe, Isura Manchanayake, Chamod Samarajeewa +5
Social media has gained an immense popularity over the last decade. People tend to express opinions about their daily encounters on social media freely. These daily encounters incl…
Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection
Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa +2
In this paper, we present the system we have used for the Implicit WASSA 2018 Implicit Emotion Shared Task. The task is to predict the emotion of a tweet of which the explicit ment…